CHANGELOG.md

ChangeLog

[2024-03-06]

New format! Going to try out reporting changes per package.

llama-index-cli [0.1.8]

• Update mappings for upgrade command (#11699)

llama-index-core [0.10.17]

• add relative_score and dist_based_score to QueryFusionRetriever (#11667)
• check for none in async agent queue (#11669)
• allow refine template for BaseSQLTableQueryEngine (#11378)
• update mappings for llama-packs (#11699)
• fixed index error for extracting rel texts in KG index (#11695)
• return proper response types from synthesizer when no nodes (#11701)
• Inherit metadata to summaries in DocumentSummaryIndex (#11671)
• Inherit callback manager in sql query engines (#11662)
• Fixed bug with agent streaming not being written to chat history (#11675)
• Fixed a small bug with none deltas when streaming a function call with an agent (#11713)

llama-index-multi-modal-llms-anthropic [0.1.2]

• Added support for new multi-modal models haiku and sonnet (#11656)

llama-index-packs-finchat [0.1.0]

• Added a new llama-pack for hierarchical agents + finance chat (#11387)

llama-index-readers-file [0.1.8]

• Added support for checking if NLTK files are already downloaded (#11676)

llama-index-readers-json [0.1.4]

• Use the metadata passed in when creating documents (#11626)

llama-index-vector-stores-astra-db [0.1.4]

• Update wording in warning message (#11702)

llama-index-vector-stores-opensearch [0.1.7]

• Avoid calling nest_asyncio.apply() in code to avoid confusing errors for users (#11707)

llama-index-vector-stores-qdrant [0.1.4]

• Catch RPC errors (#11657)

[0.10.16] - 2024-03-05

New Features

• Anthropic support for new models (#11623, #11612)
• Easier creation of chat prompts (#11583)
• Added a raptor retriever llama-pack (#11527)
• Improve batch cohere embeddings through bedrock (#11572)
• Added support for vertex AI embeddings (#11561)

Bug Fixes / Nits

• Ensure order in async embeddings generation (#11562)
• Fixed empty metadata for csv reader (#11563)
• Serializable fix for composable retrievers (#11617)
• Fixed milvus metadata filter support (#11566)
• FIxed pydantic import in clickhouse vector store (#11631)
• Fixed system prompts for gemini/vertext-gemini (#11511)

[0.10.15] - 2024-03-01

New Features

• Added FeishuWikiReader (#11491)
• Added videodb retriever integration (#11463)
• Added async to opensearch vector store (#11513)
• New LangFuse one-click callback handler (#11324)

Bug Fixes / Nits

• Fixed deadlock issue with async chat streaming (#11548)
• Improved hidden file check in SimpleDirectoryReader (#11496)
• Fixed null values in document metadata when using SimpleDirectoryReader (#11501)
• Fix for sqlite utils in jsonalyze query engine (#11519)
• Added base url and timeout to ollama multimodal LLM (#11526)
• Updated duplicate handling in query fusion retriever (#11542)
• Fixed bug in kg indexx struct updating (#11475)

[0.10.14] - 2024-02-28

New Features

• Released llama-index-networks (#11413)
• Jina reranker (#11291)
• Added DuckDuckGo agent search tool (#11386)
• helper functions for chatml (#10272)
• added brave search tool for agents (#11468)
• Added Friendli LLM integration (#11384)
• metadata only queries for chromadb (#11328)

Bug Fixes / Nits

• Fixed inheriting llm callback in synthesizers (#11404)
• Catch delete error in milvus (#11315)
• Fixed pinecone kwargs issue (#11422)
• Supabase metadata filtering fix (#11428)
• api base fix in gemini embeddings (#11393)
• fix elasticsearch vector store await (#11438)
• vllm server cuda fix (#11442)
• fix for passing LLM to context chat engine (#11444)
• set input types for cohere embeddings (#11288)
• default value for azure ad token (#10377)
• added back prompt mixin for react agent (#10610)
• fixed system roles for gemini (#11481)
• fixed mean agg pooling returning numpy float values (#11458)
• improved json path parsing for JSONQueryEngine (#9097)

[0.10.13] - 2024-02-26

New Features

• Added a llama-pack for KodaRetriever, for on-the-fly alpha tuning (#11311)
• Added support for mistral-large (#11398)
• Last token pooling mode for huggingface embeddings models like SFR-Embedding-Mistral (#11373)
• Added fsspec support to SimpleDirectoryReader (#11303)

Bug Fixes / Nits

• Fixed an issue with context window + prompt helper (#11379)
• Moved OpenSearch vector store to BasePydanticVectorStore (#11400)
• Fixed function calling in fireworks LLM (#11363)
• Made cohere embedding types more automatic (#11288)
• Improve function calling in react agent (#11280)
• Fixed MockLLM imports (#11376)

[0.10.12] - 2024-02-22

New Features

• Added llama-index-postprocessor-colbert-rerank package (#11057)
• MyMagicAI LLM (#11263)
• MariaTalk LLM (#10925)
• Add retries to github reader (#10980)
• Added FireworksAI embedding and LLM modules (#10959)

Bug Fixes / Nits

• Fixed string formatting in weaviate (#11294)
• Fixed off-by-one error in semantic splitter (#11295)
• Fixed download_llama_pack for multiple files (#11272)
• Removed BUILD files from packages (#11267)
• Loosened python version reqs for all packages (#11267)
• Fixed args issue with chromadb (#11104)

[0.10.11] - 2024-02-21

Bug Fixes / Nits

• Fixed multi-modal LLM for async acomplete (#11064)
• Fixed issue with llamaindex-cli imports (#11068)

[0.10.10] - 2024-02-20

I'm still a bit wonky with our publishing process -- apologies. This is just a version bump to ensure the changes that were supposed to happen in 0.10.9 actually did get published. (AF)

[0.10.9] - 2024-02-20

• add llama-index-cli dependency

[0.10.7] - 2024-02-19

New Features

• Added Self-Discover llamapack (#10951)

Bug Fixes / Nits

• Fixed linting in CICD (#10945)
• Fixed using remote graph stores (#10971)
• Added missing LLM kwarg in NoText response synthesizer (#10971)
• Fixed openai import in rankgpt (#10971)
• Fixed resolving model name to string in openai embeddings (#10971)
• Off by one error in sentence window node parser (#10971)

[0.10.6] - 2024-02-17

First, apologies for missing the changelog the last few versions. Trying to figure out the best process with 400+ packages.

At some point, each package will have a dedicated changelog.

But for now, onto the "master" changelog.

New Features

• Added NomicHFEmbedding (#10762)
• Added MinioReader (#10744)

Bug Fixes / Nits

• Various fixes for clickhouse vector store (#10799)
• Fix index name in neo4j vector store (#10749)
• Fixes to sagemaker embeddings (#10778)
• Fixed performance issues when splitting nodes (#10766)
• Fix non-float values in reranker + b25 (#10930)
• OpenAI-agent should be a dep of openai program (#10930)
• Add missing shortcut imports for query pipeline components (#10930)
• Fix NLTK and tiktoken not being bundled properly with core (#10930)
• Add back llama_index.core.__version__ (#10930)

[0.10.3] - 2024-02-13

Bug Fixes / Nits

• Fixed passing in LLM to as_chat_engine (#10605)
• Fixed system prompt formatting for anthropic (#10603)
• Fixed elasticsearch vector store error on __version__ (#10656)
• Fixed import on openai pydantic program (#10657)
• Added client back to opensearch vector store exports (#10660)
• Fixed bug in SimpleDirectoryReader not using file loaders properly (#10655)
• Added lazy LLM initialization to RankGPT (#10648)
• Fixed bedrock embedding from_credentials passing ing the model name (#10640)
• Added back recent changes to TelegramReader (#10625)

[0.10.0, 0.10.1] - 2024-02-12

Breaking Changes

• Several changes are introduced. See the full blog post for complete details.

[0.9.48] - 2024-02-12

Bug Fixes / Nits

• Add back deprecated API for BedrockEmbdding (#10581)

[0.9.47] - 2024-02-11

Last patch before v0.10!

New Features

• add conditional links to query pipeline (#10520)
• refactor conditional links + add to cookbook (#10544)
• agent + query pipeline cleanups (#10563)

Bug Fixes / Nits

• Add sleep to fix lag in chat stream (#10339)
• OllamaMultiModal kwargs (#10541)
• Update Ingestion Pipeline to handle empty documents (#10543)
• Fixing minor spelling error (#10516)
• fix elasticsearch async check (#10549)
• Docs/update slack demo colab (#10534)
• Adding the possibility to use the IN operator for PGVectorStore (#10547)
• fix agent reset (#10562)
• Fix MD duplicated Node id from multiple docs (#10564)

[0.9.46] - 2024-02-08

New Features

• Update pooling strategy for embedding models (#10536)
• Add Multimodal Video RAG example (#10530)
• Add SECURITY.md (#10531)
• Move agent module guide up one-level (#10519)

Bug Fixes / Nits

• Deeplake fixes (#10529)
• Add Cohere section for llamaindex (#10523)
• Fix md element (#10510)

[0.9.45.post1] - 2024-02-07

New Features

• Upgraded deeplake vector database to use BasePydanticVectorStore (#10504)

Bug Fixes / Nits

• Fix MD parser for inconsistency tables (#10488)
• Fix ImportError for pypdf in MetadataExtractionSEC.ipynb (#10491)

[0.9.45] - 2024-02-07

New Features

• Refactor: add AgentRunner.from_llm method (#10452)
• Support custom prompt formatting for non-chat LLMS (#10466)
• Bump cryptography from 41.0.7 to 42.0.0 (#10467)
• Add persist and load method for Colbert Index (#10477)
• Allow custom agent to take in user inputs (#10450)

Bug Fixes / Nits

• remove exporter from arize-phoenix global callback handler (#10465)
• Fixing Dashscope qwen llm bug (#10471)
• Fix: calling AWS Bedrock models (#10443)
• Update Azure AI Search (fka Azure Cognitive Search) vector store integration to latest client SDK 11.4.0 stable + updating jupyter notebook sample (#10416)
• fix some imports (#10485)

[0.9.44] - 2024-02-05

New Features

• ollama vision cookbook (#10438)
• Support Gemini "transport" configuration (#10457)
• Add Upstash Vector (#10451)

[0.9.43] - 2024-02-03

New Features

• Add multi-modal ollama (#10434)

Bug Fixes / Nits

• update base class for astradb (#10435)

[0.9.42.post1] - 2024-02-02

New Features

• Add Async support for Base nodes parser (#10418)

[0.9.42] - 2024-02-02

New Features

• Add support for gpt-3.5-turbo-0125 (#10412)
• Added create-llama support to rag cli (#10405)

Bug Fixes / Nits

• Fixed minor bugs in lance-db vector store (#10404)
• Fixed streaming bug in ollama (#10407)

[0.9.41] - 2024-02-01

New Features

• Nomic Embedding (#10388)
• Dashvector support sparse vector (#10386)
• Table QA with MarkDownParser and Benchmarking (#10382)
• Simple web page reader (#10395)

Bug Fixes / Nits

• fix full node content in KeywordExtractor (#10398)

[0.9.40] - 2024-01-30

New Features

• Improve and fix bugs for MarkdownElementNodeParser (#10340)
• Fixed and improve Perplexity support for new models (#10319)
• Ensure system_prompt is passed to Perplexity LLM (#10326)
• Extended BaseRetrievalEvaluator to include an optional PostProcessor (#10321)

[0.9.39] - 2024-01-26

New Features

• Support for new GPT Turbo Models (#10291)
• Support Multiple docs for Sentence Transformer Fine tuning(#10297)

Bug Fixes / Nits

• Marvin imports fixed (#9864)

[0.9.38] - 2024-01-25

New Features

• Support for new OpenAI v3 embedding models (#10279)

Bug Fixes / Nits

• Extra checks on sparse embeddings for qdrant (#10275)

[0.9.37] - 2024-01-24

New Features

• Added a RAG CLI utility (#10193)
• Added a textai vector store (#10240)
• Added a Postgresql based docstore and index store (#10233)
• specify tool spec in tool specs (#10263)

Bug Fixes / Nits

• Fixed serialization error in ollama chat (#10230)
• Added missing fields to SentenceTransformerRerank (#10225)
• Fixed title extraction (#10209, #10226)
• nit: make chainable output parser more exposed in library/docs (#10262)
• 🐛 summary index not carrying over excluded metadata keys (#10259)

[0.9.36] - 2024-01-23

New Features

• Added support for SageMakerEmbedding (#10207)

Bug Fixes / Nits

• Fix duplicated file_id on openai assistant (#10223)
• Fix circular dependencies for programs (#10222)
• Run TitleExtractor on groups of nodes from the same parent document (#10209)
• Improve vectara auto-retrieval (#10195)

[0.9.35] - 2024-01-22

New Features

• beautifulsoup4 dependency to new optional extra html (#10156)
• make BaseNode.hash an @property (#10163)
• Neutrino (#10150)
• feat: JSONalyze Query Engine (#10067)
• [wip] add custom hybrid retriever notebook (#10164)
• add from_collection method to ChromaVectorStore class (#10167)
• CLI experiment v0: ask (#10168)
• make react agent prompts more editable (#10154)
• Add agent query pipeline (#10180)

Bug Fixes / Nits

• Update supabase vecs metadata filter function to support multiple fields (#10133)
• Bugfix/code improvement for LanceDB integration (#10144)
• beautifulsoup4 optional dependency (#10156)
• Fix qdrant aquery hybrid search (#10159)
• make hash a @property (#10163)
• fix: bug on poetry install of llama-index[postgres] (#10171)
• [doc] update jaguar vector store documentation (#10179)
• Remove use of not-launched finish_message (#10188)
• Updates to Lantern vector stores docs (#10192)
• fix typo in multi_document_agents.ipynb (#10196)

[0.9.34] - 2024-01-19

New Features

• Added SageMakerEndpointLLM (#10140)
• Added support for Qdrant filters (#10136)

Bug Fixes / Nits

• Update bedrock utils for Claude 2:1 (#10139)
• BugFix: deadlocks using multiprocessing (#10125)

[0.9.33] - 2024-01-17

New Features

• Added RankGPT as a postprocessor (#10054)
• Ensure backwards compatibility with new Pinecone client version bifucation (#9995)
• Recursive retriever all the things (#10019)

Bug Fixes / Nits

• BugFix: When using markdown element parser on a table containing comma (#9926)
• extend auto-retrieval notebook (#10065)
• Updated the Attribute name in llm_generators (#10070)
• jaguar vector store add text_tag to add_kwargs in add() (#10057)

[0.9.32] - 2024-01-16

New Features

• added query-time row retrieval + fix nits with query pipeline over structured data (#10061)
• ReActive Agents w/ Context + updated stale link (#10058)

[0.9.31] - 2024-01-15

New Features

• Added selectors and routers to query pipeline (#9979)
• Added sparse-only search to qdrant vector store (#10041)
• Added Tonic evaluators (#10000)
• Adding async support to firestore docstore (#9983)
• Implement mongodb docstore put_all method (#10014)

Bug Fixes / Nits

• Properly truncate sql results based on max_string_length (#10015)
• Fixed node.resolve_image() for base64 strings (#10026)
• Fixed cohere system prompt role (#10020)
• Remove redundant token counting operation in SentenceSplitter (#10053)

[0.9.30] - 2024-01-11

New Features

• Implements a Node Parser using embeddings for Semantic Splitting (#9988)
• Add Anyscale Embedding model support (#9470)

Bug Fixes / Nits

• nit: fix pandas get prompt (#10001)
• Fix: Token counting bug (#9912)
• Bump jinja2 from 3.1.2 to 3.1.3 (#9997)
• Fix corner case for qdrant hybrid search (#9993)
• Bugfix: sphinx generation errors (#9944)
• Fix: language used before assignment in CodeSplitter (#9987)
• fix inconsistent name "text_parser" in section "Use a Text Splitter… (#9980)
• 🐛 fixing batch size (#9982)
• add auto-async execution to query pipelines (#9967)
• 🐛 fixing init (#9977)
• Parallel Loading with SimpleDirectoryReader (#9965)
• do not force delete an index in milvus (#9974)

[0.9.29] - 2024-01-10

New Features

• Added support for together.ai models (#9962)
• Added support for batch redis/firestore kvstores, async firestore kvstore (#9827)
• Parallelize IngestionPipeline.run() (#9920)
• Added new query pipeline components: function, argpack, kwargpack (#9952)

Bug Fixes / Nits

• Updated optional langchain imports to avoid warnings (#9964)
• Raise an error if empty nodes are embedded (#9953)

[0.9.28] - 2024-01-09

New Features

• Added support for Nvidia TenorRT LLM (#9842)
• Allow tool_choice to be set during agent construction (#9924)
• Added streaming support for QueryPipeline (#9919)

Bug Fixes / Nits

• Set consistent doc-ids for llama-index readers (#9923, #9916)
• Remove unneeded model inputs for HuggingFaceEmbedding (#9922)
• Propagate tool_choice flag to downstream APIs (#9901)
• Add chat_store_key to chat memory from_defaults() (#9928)

[0.9.27] - 2024-01-08

New Features

• add query pipeline (#9908)
• Feature: Azure Multi Modal (fixes: #9471) (#9843)
• add postgres docker (#9906)
• Vectara auto_retriever (#9865)
• Redis Chat Store support (#9880)
• move more classes to core (#9871)

Bug Fixes / Nits / Smaller Features

• Propagate tool_choice flag to downstream APIs (#9901)
• filter out negative indexes from faiss query (#9907)
• added NE filter for qdrant payloads (#9897)
• Fix incorrect id assignment in MyScale query result (#9900)
• Qdrant Text Match Filter (#9895)
• Fusion top k for hybrid search (#9894)
• Fix (#9867) sync_to_async to avoid blocking during asynchronous calls (#9869)
• A single node passed into compute_scores returns as a float (#9866)
• Remove extra linting steps (#9878)
• add vectara links (#9886)

[0.9.26] - 2024-01-05

New Features

• Added a BaseChatStore and SimpleChatStore abstraction for dedicated chat memory storage (#9863)
• Enable custom tree_sitter parser to be passed into CodeSplitter (#9845)
• Created a BaseAutoRetriever base class, to allow other retrievers to extend to auto modes (#9846)
• Added support for Nvidia Triton LLM (#9488)
• Added DeepEval one-click observability (#9801)

Bug Fixes / Nits

• Updated the guidance integration to work with the latest version (#9830)
• Made text storage optional for doctores/ingestion pipeline (#9847)
• Added missing sphinx-automodapi dependency for docs (#9852)
• Return actual node ids in weaviate query results (#9854)
• Added prompt formatting to LangChainLLM (#9844)

[0.9.25] - 2024-01-03

New Features

• Added concurrancy limits for dataset generation (#9779)
• New deepeval one-click observability handler (#9801)
• Added jaguar vector store (#9754)
• Add beta multimodal ReAct agent (#9807)

Bug Fixes / Nits

• Changed default batch size for OpenAI embeddings to 100 (#9805)
• Use batch size properly for qdrant upserts (#9814)
• _verify_source_safety uses AST, not regexes, for proper safety checks (#9789)
• use provided LLM in element node parsers (#9776)
• updated legacy vectordb loading function to be more robust (#9773)
• Use provided http client in AzureOpenAI (#9772)

[0.9.24] - 2023-12-30

New Features

• Add reranker for BEIR evaluation (#9743)
• Add Pathway integration. (#9719)
• custom agents implementation + notebook (#9746)

Bug Fixes / Nits

• fix beam search for vllm: add missing parameter (#9741)
• Fix alpha for hrbrid search (#9742)
• fix token counter (#9744)
• BM25 tokenizer lowercase (#9745)

[0.9.23] - 2023-12-28

Bug Fixes / Nits

• docs: fixes qdrant_hybrid.ipynb typos (#9729)
• make llm completion program more general (#9731)
• Refactor MM Vector store and Index for empty collection (#9717)
• Adding IF statement to check for Schema using "Select" (#9712)
• allow skipping module loading in download_module and download_llama_pack (#9734)

[0.9.22] - 2023-12-26

New Features

• Added .iter_data() method to SimpleDirectoryReader (#9658)
• Added async support to Ollama LLM (#9689)
• Expanding pinecone filter support for in and not in (#9683)

Bug Fixes / Nits

• Improve BM25Retriever performance (#9675)
• Improved qdrant hybrid search error handling (#9707)
• Fixed None handling in ChromaVectorStore (#9697)
• Fixed postgres schema creation if not existing (#9712)

[0.9.21] - 2023-12-23

New Features

• Added zilliz cloud as a managed index (#9605)

Bug Fixes / Nits

• Bedrock client and LLM fixes (#9671, #9646)

[0.9.20] - 2023-12-21

New Features

• Added insert_batch_size to limit number of embeddings held in memory when creating an index, defaults to 2048 (#9630)
• Improve auto-retrieval (#9647)
• Configurable Node ID Generating Function (#9574)
• Introduced action input parser (#9575)
• qdrant sparse vector support (#9644)
• Introduced upserts and delete in ingestion pipeline (#9643)
• Add Zilliz Cloud Pipeline as a Managed Index (#9605)
• Add support for Google Gemini models via VertexAI (#9624)
• support allowing additional metadata filters on autoretriever (#9662)

Bug Fixes / Nits

• Fix pip install commands in LM Format Enforcer notebooks (#9648)
• Fixing some more links and documentations (#9633)
• some bedrock nits and fixes (#9646)

[0.9.19] - 2023-12-20

New Features

• new llama datasets LabelledEvaluatorDataset & LabelledPairwiseEvaluatorDataset (#9531)

[0.9.18] - 2023-12-20

New Features

• multi-doc auto-retrieval guide (#9631)

Bug Fixes / Nits

• fix(vllm): make Vllm's 'complete' method behave the same as other LLM class (#9634)
• FIx Doc links and other documentation issue (#9632)

[0.9.17] - 2023-12-19

New Features

• [example] adding user feedback (#9601)
• FEATURE: Cohere ReRank Relevancy Metric for Retrieval Eval (#9495)

Bug Fixes / Nits

• Fix Gemini Chat Mode (#9599)
• Fixed types-protobuf from being a primary dependency (#9595)
• Adding an optional auth token to the TextEmbeddingInference class (#9606)
• fix: out of index get latest tool call (#9608)
• fix(azure_openai.py): add missing return to subclass override (#9598)
• fix mix up b/w 'formatted' and 'format' params for ollama api call (#9594)

[0.9.16] - 2023-12-18

New Features

• agent refactor: step-wise execution (#9584)
• Add OpenRouter, with Mixtral demo (#9464)
• Add hybrid search to neo4j vector store (#9530)
• Add support for auth service accounts for Google Semantic Retriever (#9545)

Bug Fixes / Nits

• Fixed missing default=None for LLM.system_prompt (#9504)
• Fix #9580 : Incorporate metadata properly (#9582)
• Integrations: Gradient[Embeddings,LLM] - sdk-upgrade (#9528)
• Add mixtral 8x7b model to anyscale available models (#9573)
• Gemini Model Checks (#9563)
• Update OpenAI fine-tuning with latest changes (#9564)
• fix/Reintroduce WHERE filter to the Sparse Query for PgVectorStore (#9529)
• Update Ollama API to ollama v0.1.16 (#9558)
• ollama: strip invalid formatted option (#9555)
• add a device in optimum push #9541 (#9554)
• Title vs content difference for Gemini Embedding (#9547)
• fix pydantic fields to float (#9542)

[0.9.15] - 2023-12-13

New Features

• Added full support for Google Gemini text+vision models (#9452)
• Added new Google Semantic Retriever (#9440)
• added from_existing() method + async support to OpenAI assistants (#9367)

Bug Fixes / Nits

• Fixed huggingface LLM system prompt and messages to prompt (#9463)
• Fixed ollama additional kwargs usage (#9455)

[0.9.14] - 2023-12-11

New Features

• Add MistralAI LLM (#9444)
• Add MistralAI Embeddings (#9441)
• Add Ollama Embedding class (#9341)
• Add FlagEmbeddingReranker for reranking (#9285)
• feat: PgVectorStore support advanced metadata filtering (#9377)
• Added sql_only parameter to SQL query engines to avoid executing SQL (#9422)

Bug Fixes / Nits

• Feat/PgVector Support custom hnsw.ef_search and ivfflat.probes (#9420)
• fix F1 score definition, update copyright year (#9424)
• Change more than one image input for Replicate Multi-modal models from error to warning (#9360)
• Removed GPT-Licensed aiostream dependency (#9403)
• Fix result of BedrockEmbedding with Cohere model (#9396)
• Only capture valid tool names in react agent (#9412)
• Fixed top_k being multiplied by 10 in azure cosmos (#9438)
• Fixed hybrid search for OpenSearch (#9430)

Breaking Changes

• Updated the base LLM interface to match LLMPredictor (#9388)
• Deprecated LLMPredictor (#9388)

[0.9.13] - 2023-12-06

New Features

• Added batch prediction support for LabelledRagDataset (#9332)

Bug Fixes / Nits

• Fixed save and load for faiss vector store (#9330)

[0.9.12] - 2023-12-05

New Features

• Added an option reuse_client to openai/azure to help with async timeouts. Set to False to see improvements (#9301)
• Added support for vLLM llm (#9257)
• Add support for python 3.12 (#9304)
• Support for claude-2.1 model name (#9275)

Bug Fixes / Nits

• Fix embedding format for bedrock cohere embeddings (#9265)
• Use delete_kwargs for filtering in weaviate vector store (#9300)
• Fixed automatic qdrant client construction (#9267)

[0.9.11] - 2023-12-03

New Features

• Make reference_contexts optional in LabelledRagDataset (#9266)
• Re-organize download module (#9253)
• Added document management to ingestion pipeline (#9135)
• Add docs for LabelledRagDataset (#9228)
• Add submission template notebook and other doc updates for LabelledRagDataset (#9273)

Bug Fixes / Nits

• Convert numpy to list for InstructorEmbedding (#9255)

[0.9.10] - 2023-11-30

New Features

• Advanced Metadata filter for vector stores (#9216)
• Amazon Bedrock Embeddings New models (#9222)
• Added PromptLayer callback integration (#9190)
• Reuse file ids for OpenAIAssistant (#9125)

Breaking Changes / Deprecations

• Deprecate ExactMatchFilter (#9216)

[0.9.9] - 2023-11-29

New Features

• Add new abstractions for LlamaDataset's (#9165)
• Add metadata filtering and MMR mode support for AstraDBVectorStore (#9193)
• Allowing newest scikit-learn versions (#9213)

Breaking Changes / Deprecations

• Added LocalAI demo and began deprecation cycle (#9151)
• Deprecate QueryResponseDataset and DatasetGenerator of evaluation module (#9165)

Bug Fixes / Nits

• Fix bug in download_utils.py with pointing to wrong repo (#9215)
• Use azure_deployment kwarg in AzureOpenAILLM (#9174)
• Fix similarity score return for AstraDBVectorStore Integration (#9193)

[0.9.8] - 2023-11-26

New Features

• Add persist and persist_from_dir methods to ObjectIndex that are able to support it (#9064)
• Added async metadata extraction + pipeline support (#9121)
• Added back support for start/end char idx in nodes (#9143)

Bug Fixes / Nits

• Fix for some kwargs not being set properly in global service context (#9137)
• Small fix for memory.get() when system/prefix messages are large (#9149)
• Minor fixes for global service context (#9137)

[0.9.7] - 2023-11-24

New Features

• Add support for PGVectoRsStore (#9087)
• Enforcing requests>=2.31 for security, while unpinning urllib3 (#9108)

Bug Fixes / Nits

• Increased default memory token limit for context chat engine (#9123)
• Added system prompt to CondensePlusContextChatEngine that gets prepended to the context_prompt (#9123)
• Fixed bug in CondensePlusContextChatEngine not using chat history properly (#9129)

[0.9.6] - 2023-11-22

New Features

• Added default_headers argument to openai LLMs (#9090)
• Added support for download_llama_pack() and LlamaPack integrations
• Added support for llamaindex-cli command line tool

Bug Fixed / Nits

• store normalize as bool for huggingface embedding (#9089)

[0.9.5] - 2023-11-21

Bug Fixes / Nits

• Fixed bug with AzureOpenAI logic for inferring if stream chunk is a tool call (#9018)

New Features

• FastEmbed embeddings provider (#9043)
• More precise testing of OpenAILike (#9026)
• Added callback manager to each retriever (#8871)
• Ability to bypass max_tokens inference with OpenAILike (#9032)

Bug Fixes / Nits

• Fixed bug in formatting chat prompt templates when estimating chunk sizes (#9025)
• Sandboxed Pandas execution, remediate CVE-2023-39662 (#8890)
• Restored mypy for Python 3.8 (#9031)
• Loosened dataclasses-json version range, and removes unnecessary jinja2 extra from pandas (#9042)

[0.9.4] - 2023-11-19

New Features

• Added CondensePlusContextChatEngine (#8949)

Smaller Features / Bug Fixes / Nits

• Fixed bug with OpenAIAgent inserting errors into chat history (#9000)
• Fixed various bugs with LiteLLM and the new OpenAI client (#9003)
• Added context window attribute to perplexity llm (#9012)
• Add node_parser attribute back to service context (#9013)
• Refactor MM retriever classes (#8998)
• Fix TextNode instantiation on SupabaseVectorIndexDemo (#8994)

[0.9.3] - 2023-11-17

New Features

• Add perplexity LLM integration (#8734)

Bug Fixes / Nits

• Fix token counting for new openai client (#8981)
• Fix small pydantic bug in postgres vector db (#8962)
• Fixed chunk_overlap and doc_id bugs in HierarchicalNodeParser (#8983)

[0.9.2] - 2023-11-16

New Features

• Added new notebook guide for Multi-Modal Rag Evaluation (#8945)
• Added MultiModalRelevancyEvaluator, and MultiModalFaithfulnessEvaluator (#8945)

[0.9.1] - 2023-11-15

New Features

• Added Cohere Reranker fine-tuning (#8859)
• Support for custom httpx client in AzureOpenAI LLM (#8920)

Bug Fixes / Nits

• Fixed issue with set_global_service_context not propagating settings (#8940)
• Fixed issue with building index with Google Palm embeddings (#8936)
• Fixed small issue with parsing ImageDocuments/Nodes that have no text (#8938)
• Fixed issue with large data inserts in Astra DB (#8937)
• Optimize QueryEngineTool for agents (#8933)

[0.9.0] - 2023-11-15

New Features / Breaking Changes / Deprecations

• New IngestionPipeline concept for ingesting and transforming data
• Data ingestion and transforms are now automatically cached
• Updated interface for node parsing/text splitting/metadata extraction modules
• Changes to the default tokenizer, as well as customizing the tokenizer
• Packaging/Installation changes with PyPi (reduced bloat, new install options)
• More predictable and consistent import paths
• Plus, in beta: MultiModal RAG Modules for handling text and images!
• Find more details at: https://medium.com/@llama_index/719f03282945

[0.8.69.post1] - 2023-11-13

Bug Fixes / Nits

• Increase max weaivate delete size to max of 10,000 (#8887)
• Final pickling remnant fix (#8902)

[0.8.69] - 2023-11-13

Bug Fixes / Nits

• Fixed bug in loading pickled objects (#8880)
• Fix custom_path vs custom_dir in download_loader (#8865)

[0.8.68] - 2023-11-11

New Features

• openai assistant agent + advanced retrieval cookbook (#8863)
• add retrieval API benchmark (#8850)
• Add JinaEmbedding class (#8704)

Bug Fixes / Nits

• Improved default timeouts/retries for OpenAI (#8819)
• Add back key validation for OpenAI (#8819)
• Disable automatic LLM/Embedding model downloads, give informative error (#8819)
• fix openai assistant tool creation + retrieval notebook (#8862)
• Quick fix Replicate MultiModal example (#8861)
• fix: paths treated as hidden (#8860)
• fix Replicate multi-modal LLM + notebook (#8854)
• Feature/citation metadata (#8722)
• Fix ImageNode type from NodeWithScore for SimpleMultiModalQueryEngine (#8844)

[0.8.67] - 2023-11-10

New Features

• Advanced Multi Modal Retrieval Example and docs (#8822, #8823)

Bug Fixes / Nits

• Fix retriever node postprocessors for CitationQueryEngine (#8818)
• Fix cannot pickle 'builtins.CoreBPE' object in most scenarios (#8835)

[0.8.66] - 2023-11-09

New Features

• Support parallel function calling with new OpenAI client in OpenAIPydanticProgram (#8793)

Bug Fixes / Nits

• Fix bug in pydantic programs with new OpenAI client (#8793)
• Fixed bug with un-listable fsspec objects (#8795)

[0.8.65] - 2023-11-08

New Features

• OpenAIAgent parallel function calling (#8738)

New Features

• Properly supporting Hugging Face recommended model (#8784)

Bug Fixes / Nits

• Fixed missing import for embeddings.__all__ (#8779)

Breaking Changes / Deprecations

• Use tool_choice over function_call and tool over functions in OpenAI(LLM) (#8738)
• Deprecate to_openai_function in favor of to_openai_tool (#8738)

[0.8.64] - 2023-11-06

New Features

• OpenAIAgent parallel function calling (#8738)
• Add AI assistant agent (#8735)
• OpenAI GPT4v Abstraction (#8719)
• Add support for Lantern VectorStore (#8714)

Bug Fixes / Nits

• Fix returning zero nodes in elastic search vector store (#8746)
• Add try/except for SimpleDirectoryReader loop to avoid crashing on a single document (#8744)
• Fix for deployment_name in async embeddings (#8748)

[0.8.63] - 2023-11-05

New Features

• added native sync and async client support for the lasted openai client package (#8712)
• added support for AzureOpenAIEmbedding (#8712)

Bug Fixes / Nits

• Fixed errors about "no host supplied" with download_loader (#8723)

Breaking Changes

• OpenAIEmbedding no longer supports azure, moved into the AzureOpenAIEmbedding class (#8712)

[0.8.62.post1] - 2023-11-05

Breaking Changes

• add new devday models (#8713)
• moved max_docs parameter from constructor to lazy_load_data() for SimpleMongoReader (#8686)

[0.8.61] - 2023-11-05

New Features

• [experimental] Hyperparameter tuner (#8687)

Bug Fixes / Nits

• Fix typo error in CohereAIModelName class: cohere light models was missing v3 (#8684)
• Update deeplake.py (#8683)

[0.8.60] - 2023-11-04

New Features

• prompt optimization guide (#8659)
• VoyageEmbedding (#8634)
• Multilingual support for YoutubeTranscriptReader (#8673)
• emotion prompt guide (#8674)

Bug Fixes / Nits

• Adds mistral 7b instruct v0.1 to available anyscale models (#8652)
• Make pgvector's setup (extension, schema, and table creation) optional (#8656)
• Allow init of stores_text variable for Pinecone vector store (#8633)
• fix: azure ad support (#8667)
• Fix nltk bug in multi-threaded environments (#8668)
• Fix google colab link in cohereai notebook (#8677)
• passing max_tokens to the Cohere llm (#8672)

[0.8.59] - 2023-11-02

• Deepmemory support (#8625)
• Add CohereAI embeddings (#8650)
• Add Azure AD (Microsoft Entra ID) support (#8667)

[0.8.58] - 2023-11-02

New Features

• Add lm-format-enforcer integration for structured output (#8601)
• Google Vertex Support (#8626)

[0.8.57] - 2023-10-31

New Features

• Add VoyageAIEmbedding integration (#8634)
• Add fine-tuning evaluator notebooks (#8596)
• Add SingleStoreDB integration (#7991)
• Add support for ChromaDB PersistentClient (#8582)
• Add DataStax Astra DB support (#8609)

Bug Fixes / Nits

• Update dataType in Weaviate (#8608)
• In Knowledge Graph Index with hybrid retriever_mode,
  • return the nodes found by keyword search when 'No Relationship found'
• Fix exceed context length error in chat engines (#8530)
• Retrieve actual content of all the triplets from KG (#8579)
• Return the nodes found by Keywords when no relationship is found by embeddings in hybrid retriever_mode in KnowledgeGraphIndex (#8575)
• Optimize content of retriever tool and minor bug fix (#8588)

[0.8.56] - 2023-10-30

New Features

• Add Amazon BedrockEmbedding (#8550)
• Moves HuggingFaceEmbedding to center on Pooling enum for pooling (#8467)
• Add IBM WatsonX LLM support (#8587)

Bug Fixes / Nits

• [Bug] Patch Clarifai classes (#8529)
• fix retries for bedrock llm (#8528)
• Fix : VectorStore’s QueryResult always returns saved Node as TextNode (#8521)
• Added default file_metadata to get basic metadata that many postprocessors use, for SimpleDirectoryReader (#8486)
• Handle metadata with None values in chromadb (#8584)

[0.8.55] - 2023-10-29

New Features

• allow prompts to take in functions with function_mappings (#8548)
• add advanced prompt + "prompt engineering for RAG" notebook (#8555)
• Leverage Replicate API for serving LLaVa modal (#8539)

Bug Fixes / Nits

• Update pull request template with google colab support inclusion (#8525)

[0.8.54] - 2023-10-28

New Features

• notebook showing how to fine-tune llama2 on structured outputs (#8540)
  • added GradientAIFineTuningHandler
  • added pydantic_program_mode to ServiceContext
• Initialize MultiModal Retrieval using LlamaIndex (#8507)

Bug Fixes / Nits

• Add missing import to ChatEngine usage pattern .md doc (#8518)
• 🐛 fixed async add (#8531)
• fix: add the needed CondenseQuestionChatEngine import in the usage_pa… (#8518)
• Add import LongLLMLinguaPostprocessor for LongLLMLingua.ipynb (#8519)

[0.8.53] - 2023-10-27

New Features

• Docs refactor (#8500) An overhaul of the docs organization. Major changes
  • Added a big new "understanding" section
  • Added a big new "optimizing" section
  • Overhauled Getting Started content
  • Categorized and moved module guides to a single section

[0.8.52] - 2023-10-26

New Features

• Add longllmlingua (#8485)
• Add google colab support for notebooks (#7560)

Bug Fixes / Nits

• Adapt Cassandra VectorStore constructor DB connection through cassio.init (#8255)
• Allow configuration of service context and storage context in managed index (#8487)

[0.8.51.post1] - 2023-10-25

New Features

• Add Llava MultiModal QA examples for Tesla 10k RAG (#8271)
• fix bug streaming on react chat agent not working as expected (#8459)

Bug Fixes / Nits

• patch: add selected result to response metadata for router query engines, fix bug (#8483)
• add Jina AI embeddings notebook + huggingface embedding fix (#8478)
• add is_chat_model to replicate (#8469)
• Brought back toml-sort to pre-commit (#8267)
• Added LocationConstraint for local test_s3_kvstore (#8263)

[0.8.50] - 2023-10-24

New Features

• Expose prompts in different modules (query engines, synthesizers, and more) (#8275)

[0.8.49] - 2023-10-23

New Features

• New LLM integrations
  • Support for Hugging Face Inference API's conversational, text_generation, and feature_extraction endpoints via huggingface_hub[inference] (#8098)
  • Add Amazon Bedrock LLMs (#8223)
  • Add AI21 Labs LLMs (#8233)
  • Add OpenAILike LLM class for OpenAI-compatible api servers (#7973)
• New / updated vector store integrations
  • Add DashVector (#7772)
  • Add Tencent VectorDB (#8173)
  • Add option for custom Postgres schema on PGVectorStore instead of only allowing public schema (#8080)
• Add Gradient fine tuning engine (#8208)
• docs(FAQ): frequently asked questions (#8249)

Bug Fixes / Nits

• Fix inconsistencies with ReActAgent.stream_chat (#8147)
• Deprecate some functions for GuardrailsOutputParser (#8016)
• Simplify dependencies (#8236)
• Bug fixes for LiteLLM (#7885)
• Update for Predibase LLM (#8211)

[0.8.48] - 2023-10-20

New Features

• Add DELETE for MyScale vector store (#8159)
• Add SQL Retriever (#8197)
• add semantic kernel document format (#8226)
• Improve MyScale Hybrid Search and Add DELETE for MyScale vector store (#8159)

Bug Fixes / Nits

• Fixed additional kwargs in ReActAgent.from_tools() (#8206)
• Fixed missing spaces in prompt templates (#8190)
• Remove auto-download of llama2-13B on exception (#8225)

[0.8.47] - 2023-10-19

New Features

• add response synthesis to text-to-SQL (#8196)
• Added support for LLMRailsEmbedding (#8169)
• Inferring MPS device with PyTorch (#8195)
• Consolidated query/text prepending (#8189)

[0.8.46] - 2023-10-18

New Features

• Add fine-tuning router support + embedding selector (#8174)
• add more document converters (#8156)

Bug Fixes / Nits

• Add normalization to huggingface embeddings (#8145)
• Improve MyScale Hybrid Search (#8159)
• Fixed duplicate FORMAT_STR being inside prompt (#8171)
• Added: support for output_kwargs={'max_colwidth': xx} for PandasQueryEngine (#8110)
• Minor fix in the description for an argument in cohere llm (#8163)
• Fix Firestore client info (#8166)

[0.8.45] - 2023-10-13

New Features

• Added support for fine-tuning cross encoders (#7705)
• Added QueryFusionRetriever for merging multiple retrievers + query augmentation (#8100)
• Added nb-clean to pre-commit to minimize PR diffs (#8108)
• Support for TextEmbeddingInference embeddings (#8122)

Bug Fixes / Nits

• Improved the BM25Retriever interface to accept BaseNode objects (#8096)
• Fixed bug with BM25Retriever tokenizer not working as expected (#8096)
• Brought mypy to pass in Python 3.8 (#8107)
• ReActAgent adding missing super().__init__ call (#8125)

[0.8.44] - 2023-10-12

New Features

• add pgvector sql query engine (#8087)
• Added HoneyHive one-click observability (#7944)
• Add support for both SQLAlchemy V1 and V2 (#8060)

[0.8.43.post1] - 2023-10-11

New Features

• Moves codespell to pre-commit (#8040)
• Added prettier for autoformatting extensions besides .py (#8072)

Bug Fixes / Nits

• Fixed forgotten f-str in HuggingFaceLLM (#8075)
• Relaxed numpy/panadas reqs

[0.8.43] - 2023-10-10

New Features

• Added support for GradientEmbedding embed models (#8050)

Bug Fixes / Nits

• added messages_to_prompt kwarg to HuggingFaceLLM (#8054)
• improved selection and sql parsing for open-source models (#8054)
• fixed bug when agents hallucinate too many kwargs for a tool (#8054)
• improved prompts and debugging for selection+question generation (#8056)

[0.8.42] - 2023-10-10

New Features

• LocalAI more intuitive module-level var names (#8028)
• Enable codespell for markdown docs (#7972)
• add unstructured table element node parser (#8036)
• Add: Async upserting for Qdrant vector store (#7968)
• Add cohere llm (#8023)

Bug Fixes / Nits

• Parse multi-line outputs in react agent answers (#8029)
• Add properly named kwargs to keyword as_retriever calls (#8011)
• Updating Reference to RAGAS LlamaIndex Integration (#8035)
• Vectara bugfix (#8032)
• Fix: ChromaVectorStore can attempt to add in excess of chromadb batch… (#8019)
• Fix get_content method in Mbox reader (#8012)
• Apply kwarg filters in WeaviateVectorStore (#8017)
• Avoid ZeroDivisionError (#8027)
• LocalAI intuitive module-level var names (#8028)
• zep/fix: imports & typing (#8030)
• refactor: use str.join (#8020)
• use proper metadata str for node parsing (#7987)

[0.8.41] - 2023-10-07

New Features

• You.com retriever (#8024)
• Pull fields from mongodb into metadata with metadata_names argument (#8001)
• Simplified LocalAI.__init__ preserving the same behaviors (#7982)

Bug Fixes / Nits

• Use longest metadata string for metadata aware text splitting (#7987)
• Handle lists of strings in mongodb reader (#8002)
• Removes OpenAI.class_type as it was dead code (#7983)
• Fixing HuggingFaceLLM.device_map type hint (#7989)

[0.8.40] - 2023-10-05

New Features

• Added support for Clarifai LLM (#7967)
• Add support for function fine-tuning (#7971)

Breaking Changes

• Update document summary index (#7815)
  • change default retrieval mode to embedding
  • embed summaries into vector store by default at indexing time (instead of calculating embedding on the fly)
  • support configuring top k in llm retriever

[0.8.39] - 2023-10-03

New Features

• Added support for pydantic object outputs with query engines (#7893)
• ClarifaiEmbedding class added for embedding support (#7940)
• Markdown node parser, flat file reader and simple file node parser (#7863)
• Added support for mongdb atlas $vectorSearch (#7866)

Bug Fixes / Nits

• Adds support for using message metadata in discord reader (#7906)
• Fix LocalAI chat capability without max_tokens (#7942)
• Added codespell for automated checking (#7941)
• ruff modernization and autofixes (#7889)
• Implement own SQLDatabase class (#7929)
• Update LlamaCPP context_params property (#7945)
• fix duplicate embedding (#7949)
• Adds codespell tool for enforcing good spelling (#7941)
• Supporting mypy local usage with venv (#7952)
• Vectara - minor update (#7954)
• Avoiding pydantic reinstalls in CI (#7956)
• move tree_sitter_languages into data_requirements.txt (#7955)
• Add cache_okay param to PGVectorStore to help suppress TSVector warnings (#7950)

[0.8.38] - 2023-10-02

New Features

• Updated KeywordNodePostprocessor to use spacy to support more languages (#7894)
• LocalAI supporting global or per-query /chat/completions vs /completions (#7921)
• Added notebook on using REBEL + Wikipedia filtering for knowledge graphs (#7919)
• Added support for ElasticsearchEmbedding (#7914)

[0.8.37] - 2023-09-30

New Features

• Supporting LocalAI LLMs (#7913)
• Validations protecting against misconfigured chunk sizes (#7917)

Bug Fixes / Nits

• Simplify NL SQL response to SQL parsing, with expanded NL SQL prompt (#7868)
• Improve vector store retrieval speed for vectordb integrations (#7876)
• Added replacing {{ and }}, and fixed JSON parsing recursion (#7888)
• Nice-ified JSON decoding error (#7891)
• Nice-ified SQL error from LLM not providing SQL (#7900)
• Nice-ified ImportError for HuggingFaceLLM (#7904)
• eval fixes: fix dataset response generation, add score to evaluators (#7915)

[0.8.36] - 2023-09-27

New Features

• add "build RAG from scratch notebook" - OSS/local (#7864)

Bug Fixes / Nits

• Fix elasticsearch hybrid scoring (#7852)
• Replace get_color_mapping and print_text Langchain dependency with internal implementation (#7845)
• Fix async streaming with azure (#7856)
• Avoid NotImplementedError() in sub question generator (#7855)
• Patch predibase initialization (#7859)
• Bumped min langchain version and changed prompt imports from langchain (#7862)

[0.8.35] - 2023-09-27

Bug Fixes / Nits

• Fix dropping textnodes in recursive retriever (#7840)
• share callback_manager between agent and its llm when callback_manager is None (#7844)
• fix pandas query engine (#7847)

[0.8.34] - 2023-09-26

New Features

• Added Konko LLM support (#7775)
• Add before/after context sentence (#7821)
• EverlyAI integration with LlamaIndex through OpenAI library (#7820)
• add Arize Phoenix tracer to global handlers (#7835)

Bug Fixes / Nits

• Normalize scores returned from ElasticSearch vector store (#7792)
• Fixed refresh_ref_docs() bug with order of operations (#7664)
• Delay postgresql connection for PGVectorStore until actually needed (#7793)
• Fix KeyError in delete method of SimpleVectorStore related to metadata filters (#7829)
• Fix KeyError in delete method of SimpleVectorStore related to metadata filters (#7831)
• Addressing PyYAML import error (#7784)
• ElasticsearchStore: Update User-Agent + Add example docker compose (#7832)
• StorageContext.persist supporting Path (#7783)
• Update ollama.py (#7839)
• fix bug for self._session_pool (#7834)

[0.8.33] - 2023-09-25

New Features

• add pairwise evaluator + benchmark auto-merging retriever (#7810)

Bug Fixes / Nits

• Minor cleanup in embedding class (#7813)
• Misc updates to OpenAIEmbedding (#7811)

[0.8.32] - 2023-09-24

New Features

• Added native support for HuggingFaceEmbedding, InstructorEmbedding, and OptimumEmbedding (#7795)
• Added metadata filtering and hybrid search to MyScale vector store (#7780)
• Allowing custom text field name for Milvus (#7790)
• Add support for vector_store_query_mode to VectorIndexAutoRetriever (#7797)

Bug Fixes / Nits

• Update LanceDBVectorStore to handle score and distance (#7754)
• Pass LLM to memory_cls in CondenseQuestionChatEngine (#7785)

[0.8.31] - 2023-09-22

New Features

• add pydantic metadata extractor (#7778)
• Allow users to set the embedding dimensions in azure cognitive vector store (#7734)
• Add semantic similarity evaluator (#7770)

Bug Fixes / Nits

• 📝docs: Update Chatbot Tutorial and Notebook (#7767)
• Fixed response synthesizers with empty nodes (#7773)
• Fix NotImplementedError in auto vector retriever (#7764)
• Multiple kwargs values in "KnowledgeGraphQueryEngine" bug-fix (#7763)
• Allow setting azure cognitive search dimensionality (#7734)
• Pass service context to index for dataset generator (#7748)
• Fix output parsers for selector templates (#7774)
• Update Chatbot_SEC.ipynb (#7711)
• linter/typechecker-friendly improvements to cassandra test (#7771)
• Expose debug option of PgVectorStore (#7776)
• llms/openai: fix Azure OpenAI by considering prompt_filter_results field (#7755)

[0.8.30] - 2023-09-21

New Features

• Add support for gpt-3.5-turbo-instruct (#7729)
• Add support for TimescaleVectorStore (#7727)
• Added LongContextReorder for lost-in-the-middle issues (#7719)
• Add retrieval evals (#7738)

Bug Fixes / Nits

• Added node post-processors to async context chat engine (#7731)
• Added unique index name for postgres tsv column (#7741)

[0.8.29.post1] - 2023-09-18

Bug Fixes / Nits

• Fix langchain import error for embeddings (#7714)

[0.8.29] - 2023-09-18

New Features

• Added metadata filtering to the base simple vector store (#7564)
• add low-level router guide (#7708)
• Add CustomQueryEngine class (#7703)

Bug Fixes / Nits

• Fix context window metadata in lite-llm (#7696)

[0.8.28] - 2023-09-16

New Features

• Add CorrectnessEvaluator (#7661)
• Added support for Ollama LLMs (#7635)
• Added HWPReader (#7672)
• Simplified portkey LLM interface (#7669)
• Added async operation support to ElasticsearchStore vector store (#7613)
• Added support for LiteLLM (#7600)
• Added batch evaluation runner (#7692)

Bug Fixes / Nits

• Avoid NotImplementedError for async langchain embeddings (#7668)
• Imrpoved reliability of LLM selectors (#7678)
• Fixed query_wrapper_prompt and system_prompt for output parsers and completion models (#7678)
• Fixed node attribute inheritance in citation query engine (#7675)

Breaking Changes

• Refactor and update BaseEvaluator interface to be more consistent (#7661)
  • Use evaluate function for generic input
  • Use evaluate_response function with Response objects from llama index query engine
• Update existing evaluators with more explicit naming
  • ResponseEvaluator -> FaithfulnessEvaluator
  • QueryResponseEvaluator -> RelevancyEvaluator
  • old names are kept as class aliases for backwards compatibility

[0.8.27] - 2023-09-14

New Features

• add low-level tutorial section (#7673)

Bug Fixes / Nits

• default delta should be a dict (#7665)
• better query wrapper logic on LLMPredictor (#7667)

[0.8.26] - 2023-09-12

New Features

• add non-linear embedding adapter (#7658)
• Add "finetune + RAG" evaluation to knowledge fine-tuning notebook (#7643)

Bug Fixes / Nits

• Fixed chunk-overlap for sentence splitter (#7590)

[0.8.25] - 2023-09-12

New Features

• Added AGENT_STEP callback event type (#7652)

Bug Fixes / Nits

• Allowed simple mode to work with as_chat_engine() (#7637)
• Fixed index error in azure streaming (#7646)
• Removed pdb from llama-cpp (#7651)

[0.8.24] - 2023-09-11

New Features

• guide: fine-tuning to memorize knowledge (#7626)
• added ability to customize prompt template for eval modules (#7626)

Bug Fixes

• Properly detect llama-cpp-python version for loading the default GGML or GGUF llama2-chat-13b model (#7616)
• Pass in summary_template properly with RetrieverQueryEngine.from_args() (#7621)
• Fix span types in wandb callback (#7631)

[0.8.23] - 2023-09-09

Bug Fixes

• Make sure context and system prompt is included in prompt for first chat for llama2 (#7597)
• Avoid negative chunk size error in refine process (#7607)
• Fix relationships for small documents in hierarchical node parser (#7611)
• Update Anyscale Endpoints integration with full streaming and async support (#7602)
• Better support of passing credentials as LLM constructor args in OpenAI, AzureOpenAI, and Anyscale (#7602)

Breaking Changes

• Update milvus vector store to support filters and dynamic schemas (#7286)
  • See the updated notebook for usage
• Added NLTK to core dependencies to support the default sentence splitter (#7606)

[0.8.22] - 2023-09-07

New Features

• Added support for ElasticSearch Vector Store (#7543)

Bug Fixes / Nits

• Fixed small _index bug in ElasticSearchReader (#7570)
• Fixed bug with prompt helper settings in global service contexts (#7576)
• Remove newlines from openai embeddings again (#7588)
• Fixed small bug with setting query_wrapper_prompt in the service context (#7585)

Breaking/Deprecated API Changes

• Clean up vector store interface to use BaseNode instead of NodeWithEmbedding
  • For majority of users, this is a no-op change
  • For users directly operating with the VectorStore abstraction and manually constructing NodeWithEmbedding objects, this is a minor breaking change. Use TextNode with embedding set directly, instead of NodeWithEmbedding.

[0.8.21] - 2023-09-06

New Features

• add embedding adapter fine-tuning engine + guide (#7565)
• Added support for Azure Cognitive Search vector store (#7469)
• Support delete in supabase (#6951)
• Added support for Espilla vector store (#7539)
• Added support for AnyScale LLM (#7497)

Bug Fixes / Nits

• Default to user-configurable top-k in VectorIndexAutoRetriever (#7556)
• Catch validation errors for structured responses (#7523)
• Fix streaming refine template (#7561)

[0.8.20] - 2023-09-04

New Features

• Added Portkey LLM integration (#7508)
• Support postgres/pgvector hybrid search (#7501)
• upgrade recursive retriever node reference notebook (#7537)

[0.8.19] - 2023-09-03

New Features

• replace list index with summary index (#7478)
• rename list index to summary index part 2 (#7531)

[0.8.18] - 2023-09-03

New Features

• add agent finetuning guide (#7526)

[0.8.17] - 2023-09-02

New Features

• Make (some) loaders serializable (#7498)
• add node references to recursive retrieval (#7522)

Bug Fixes / Nits

• Raise informative error when metadata is too large during splitting (#7513)
• Allow langchain splitter in simple node parser (#7517)

[0.8.16] - 2023-09-01

Bug Fixes / Nits

• fix link to Marvin notebook in docs (#7504)
• Ensure metadata is not None in SimpleWebPageReader (#7499)
• Fixed KGIndex visualization (#7493)
• Improved empty response in KG Index (#7493)

[0.8.15] - 2023-08-31

New Features

• Added support for MarvinEntityExtractor metadata extractor (#7438)
• Added a url_metadata callback to SimpleWebPageReader (#7445)
• Expanded callback logging events (#7472)

Bug Fixes / Nits

• Only convert newlines to spaces for text 001 embedding models in OpenAI (#7484)
• Fix KnowledgeGraphRagRetriever for non-nebula indexes (#7488)
• Support defined embedding dimension in PGVectorStore (#7491)
• Greatly improved similarity calculation speed for the base vector store (#7494)

[0.8.14] - 2023-08-30

New Features

• feat: non-kg heterogeneous graph support in Graph RAG (#7459)
• rag guide (#7480)

Bug Fixes / Nits

• Improve openai fine-tuned model parsing (#7474)
• doing some code de-duplication (#7468)
• support both str and templates for query_wrapper_prompt in HF LLMs (#7473)

[0.8.13] - 2023-08-29

New Features

• Add embedding finetuning (#7452)
• Added support for RunGPT LLM (#7401)
• Integration guide and notebook with DeepEval (#7425)
• Added VectorIndex and VectaraRetriever as a managed index (#7440)
• Added support for to_tool_list to detect and use async functions (#7282)

[0.8.12] - 2023-08-28

New Features

• add openai finetuning class (#7442)
• Service Context to/from dict (#7395)
• add finetuning guide (#7429)

Smaller Features / Nits / Bug Fixes

• Add example how to run FalkorDB docker (#7441)
• Update root.md to use get_response_synthesizer expected type. (#7437)
• Bugfix MonsterAPI Pydantic version v2/v1 support. Doc Update (#7432)

[0.8.11.post3] - 2023-08-27

New Features

• AutoMergingRetriever (#7420)

[0.8.10.post1] - 2023-08-25

New Features

• Added support for MonsterLLM using MonsterAPI (#7343)
• Support comments fields in NebulaGraphStore and int type VID (#7402)
• Added configurable endpoint for DynamoDB (#6777)
• Add structured answer filtering for Refine response synthesizer (#7317)

Bug Fixes / Nits

• Use utf-8 for json file reader (#7390)
• Fix entity extractor initialization (#7407)

[0.8.9] - 2023-08-24

New Features

• Added support for FalkorDB/RedisGraph graph store (#7346)
• Added directed sub-graph RAG (#7378)
• Added support for BM25Retriever (#7342)

Bug Fixes / Nits

• Added max_tokens to Xinference LLM (#7372)
• Support cache dir creation in multithreaded apps (#7365)
• Ensure temperature is a float for openai (#7382)
• Remove duplicate subjects in knowledge graph retriever (#7378)
• Added support for both pydantic v1 and v2 to allow other apps to move forward (#7394)

Breaking/Deprecated API Changes

• Refactor prompt template (#7319)
  • Use BasePromptTemplate for generic typing
  • Use PromptTemplate, ChatPromptTemplate, SelectorPromptTemplate as core implementations
  • Use LangchainPromptTemplate for compatibility with Langchain prompt templates
  • Fully replace specific prompt classes (e.g. SummaryPrompt) with generic BasePromptTemplate for typing in codebase.
  • Keep Prompt as an alias for PromptTemplate for backwards compatibility.
  • BREAKING CHANGE: remove support for Prompt.from_langchain_prompt, please use template=LangchainPromptTemplate(lc_template) instead.

[0.8.8] - 2023-08-23

New Features

• OpenAIFineTuningHandler for collecting LLM inputs/outputs for OpenAI fine tuning (#7367)

Bug Fixes / Nits

• Add support for claude-instant-1.2 (#7369)

[0.8.7] - 2023-08-22

New Features

• Support fine-tuned OpenAI models (#7364)
• Added support for Cassandra vector store (#6784)
• Support pydantic fields in tool functions (#7348)

Bug Fixes / Nits

• Fix infinite looping with forced function call in OpenAIAgent (#7363)

[0.8.6] - 2023-08-22

New Features

• auto vs. recursive retriever notebook (#7353)
• Reader and Vector Store for BagelDB with example notebooks (#7311)

Bug Fixes / Nits

• Use service context for intermediate index in retry source query engine (#7341)
• temp fix for prompt helper + chat models (#7350)
• Properly skip unit-tests when packages not installed (#7351)

[0.8.5.post2] - 2023-08-20

New Features

• Added FireStore docstore/index store support (#7305)
• add recursive agent notebook (#7330)

Bug Fixes / Nits

• Fix Azure pydantic error (#7329)
• fix callback trace ids (make them a context var) (#7331)

[0.8.5.post1] - 2023-08-18

New Features

• Awadb Vector Store (#7291)

Bug Fixes / Nits

• Fix bug in OpenAI llm temperature type

[0.8.5] - 2023-08-18

New Features

• Expose a system prompt/query wrapper prompt in the service context for open-source LLMs (#6647)
• Changed default MyScale index format to MSTG (#7288)
• Added tracing to chat engines/agents (#7304)
• move LLM and embeddings to pydantic (#7289)

Bug Fixes / Nits

• Fix sentence splitter bug (#7303)
• Fix sentence splitter infinite loop (#7295)

[0.8.4] - 2023-08-17

Bug Fixes / Nits

• Improve SQL Query parsing (#7283)
• Fix loading embed_model from global service context (#7284)
• Limit langchain version until we migrate to pydantic v2 (#7297)

[0.8.3] - 2023-08-16

New Features

• Added Knowledge Graph RAG Retriever (#7204)

Bug Fixes / Nits

• accept api_key kwarg in OpenAI LLM class constructor (#7263)
• Fix to create separate queue instances for separate instances of StreamingAgentChatResponse (#7264)

[0.8.2.post1] - 2023-08-14

New Features

• Added support for Rockset as a vector store (#7111)

Bug Fixes

• Fixed bug in service context definition that could disable LLM (#7261)

[0.8.2] - 2023-08-14

New Features

• Enable the LLM or embedding model to be disabled by setting to None in the service context (#7255)
• Resolve nearly any huggingface embedding model using the embed_model="local:<model_name>" syntax (#7255)
• Async tool-calling support (#7239)

Bug Fixes / Nits

• Updated supabase kwargs for add and query (#7103)
• Small tweak to default prompts to allow for more general purpose queries (#7254)
• Make callback manager optional for CustomLLM + docs update (#7257)

[0.8.1] - 2023-08-13

New Features

• feat: add node_postprocessors to ContextChatEngine (#7232)
• add ensemble query engine tutorial (#7247)

Smaller Features

• Allow EMPTY keys for Fastchat/local OpenAI API endpoints (#7224)

[0.8.0] - 2023-08-11

New Features

• Added "LLAMA_INDEX_CACHE_DIR" to control cached files (#7233)
• Default to pydantic selectors when possible (#7154, #7223)
• Remove the need for langchain wrappers on embed_model in the service context (#7157)
• Metadata extractors take an LLM object now, in addition to LLMPredictor (#7202)
• Added local mode + fallback to llama.cpp + llama2 (#7200)
• Added local fallback for embeddings to BAAI/bge-small-en (#7200)
• Added SentenceWindowNodeParser + MetadataReplacementPostProcessor (#7211)

Breaking Changes

• Change default LLM to gpt-3.5-turbo from text-davinci-003 (#7223)
• Change prompts for compact/refine/tree_summarize to work better with gpt-3.5-turbo (#7150, #7179, #7223)
• Increase default LLM temperature to 0.1 (#7180)

[0.7.24.post1] - 2023-08-11

Other Changes

• Reverted #7223 changes to defaults (#7235)

[0.7.24] - 2023-08-10

New Features

• Default to pydantic selectors when possible (#7154, #7223)
• Remove the need for langchain wrappers on embed_model in the service context (#7157)
• Metadata extractors take an LLM object now, in addition to LLMPredictor (#7202)
• Added local mode + fallback to llama.cpp + llama2 (#7200)
• Added local fallback for embeddings to BAAI/bge-small-en (#7200)
• Added SentenceWindowNodeParser + MetadataReplacementPostProcessor (#7211)

Breaking Changes

• Change default LLM to gpt-3.5-turbo from text-davinci-003 (#7223)
• Change prompts for compact/refine/tree_summarize to work better with gpt-3.5-turbo (#7150, #7179, #7223)
• Increase default LLM temperature to 0.1 (#7180)

Other Changes

• docs: Improvements to Mendable Search (#7220)
• Refactor openai agent (#7077)

Bug Fixes / Nits

• Use 1 - cosine_distance for pgvector/postgres vector db (#7217)
• fix metadata formatting and extraction (#7216)
• fix(readers): Fix non-ASCII JSON Reader bug (#7086)
• Chore: change PgVectorStore variable name from sim to distance for clarity (#7226)

[0.7.23] - 2023-08-10

Bug Fixes / Nits

• Fixed metadata formatting with custom tempalates and inheritance (#7216)

[0.7.23] - 2023-08-10

New Features

• Add "one click observability" page to docs (#7183)
• Added Xorbits inference for local deployments (#7151)
• Added Zep vector store integration (#7203)
• feat/zep vectorstore (#7203)

Bug Fixes / Nits

• Update the default EntityExtractor model (#7209)
• Make ChatMemoryBuffer pickleable (#7205)
• Refactored BaseOpenAIAgent (#7077)

[0.7.22] - 2023-08-08

New Features

• add ensemble retriever notebook (#7190)
• DOCS: added local llama2 notebook (#7146)

Bug Fixes / Nits

• Fix for AttributeError: 'OpenAIAgent' object has no attribute 'callback_manager' by calling super constructor within BaseOpenAIAgent
• Remove backticks from nebula queries (#7192)

[0.7.21] - 2023-08-07

New Features

• Added an EntityExtractor for metadata extraction (#7163)

[0.7.20] - 2023-08-06

New Features

• add router module docs (#7171)
• add retriever router (#7166)

New Features

• Added a RouterRetriever for routing queries to specific retrievers (#7166)

Bug Fixes / Nits

• Fix for issue where having multiple concurrent streamed responses from OpenAIAgent would result in interleaving of tokens across each response stream. (#7164)
• fix llms callbacks issue (args[0] error) (#7165)

[0.7.19] - 2023-08-04

New Features

• Added metadata filtering to weaviate (#7130)
• Added token counting (and all callbacks) to agents and streaming (#7122)

[0.7.18] - 2023-08-03

New Features

• Added to/from_string and to/from_dict methods to memory objects (#7128)
• Include columns comments from db tables in table info for SQL queries (#7124)
• Add Neo4j support (#7122)

Bug Fixes / Nits

• Added Azure AD validation support to the AzureOpenAI class (#7127)
• add flush=True when printing agent/chat engine response stream (#7129)
• Added Azure AD support to the AzureOpenAI class (#7127)
• Update LLM question generator prompt to mention JSON markdown (#7105)
• Fixed astream_chat in chat engines (#7139)

[0.7.17] - 2023-08-02

New Features

• Update ReActAgent to support memory modules (minor breaking change since the constructor takes memory instead of chat_history, but the main from_tools method remains backward compatible.) (#7116)
• Update ReActAgent to support streaming (#7119)
• Added Neo4j graph store and query engine integrations (#7122)
• add object streaming (#7117)

[0.7.16] - 2023-07-30

New Features

• Chat source nodes (#7078)

[0.7.15] - 2023-07-29

Bug Fixes / Nits

• anthropic api key customization (#7082)
• Fix broken link to API reference in Contributor Docs (#7080)
• Update vector store docs (#7076)
• Update comment (#7073)

[0.7.14] - 2023-07-28

New Features

• Added HotpotQADistractor benchmark evaluator (#7034)
• Add metadata filter and delete support for LanceDB (#7048)
• Use MetadataFilters in opensearch (#7005)
• Added support for KuzuGraphStore (#6970)
• Added kg_triplet_extract_fn to customize how KGs are built (#7068)

Bug Fixes / Nits

• Fix string formatting in context chat engine (#7050)
• Fixed tracing for async events (#7052)
• Less strict triplet extraction for KGs (#7059)
• Add configurable limit to KG data retrieved (#7059)
• Nebula connection improvements (#7059)
• Bug fix in building source nodes for agent response (#7067)

[0.7.13] - 2023-07-26

New Features

• Support function calling api for AzureOpenAI (#7041)

Bug Fixes / Nits

• tune prompt to get rid of KeyError in SubQ engine (#7039)
• Fix validation of Azure OpenAI keys (#7042)

[0.7.12] - 2023-07-25

New Features

• Added kwargs to ComposableGraph for the underlying query engines (#6990)
• Validate openai key on init (#6940)
• Added async embeddings and async RetrieverQueryEngine (#6587)
• Added async aquery and async_add to PGVectorStore (#7031)
• Added .source_nodes attribute to chat engine and agent responses (#7029)
• Added OpenInferenceCallback for storing generation data in OpenInference format (#6998)

Bug Fixes / Nits

• Fix achat memory initialization for data agents (#7000)
• Add print_response_stream() to agengt/chat engine response class (#7018)

Bug Fixes / Nits

• Fix achat memory initialization for data agents (#7000)
• Add print_response_stream() to agengt/chat engine response class (#7018)

[v0.7.11.post1] - 2023-07-20

New Features

• Default to pydantic question generation when possible for sub-question query engine (#6979)

Bug Fixes / Nits

• Fix returned order of messages in large chat memory (#6979)

[v0.7.11] - 2023-07-19

New Features

• Added a SentenceTransformerRerank node post-processor for fast local re-ranking (#6934)
• Add numpy support for evaluating queries in pandas query engine (#6935)
• Add metadata filtering support for Postgres Vector Storage integration (#6968)
• Proper llama2 support for agents and query engines (#6969)

Bug Fixes / Nits

• Added model_name to LLMMetadata (#6911)
• Fallback to retriever service context in query engines (#6911)
• Fixed as_chat_engine() ValueError with extra kwargs (#6971

[v0.7.10.post1] - 2023-07-18

New Features

• Add support for Replicate LLM (vicuna & llama 2!)

Bug Fixes / Nits

• fix streaming for condense chat engine (#6958)

[v0.7.10] - 2023-07-17

New Features

• Add support for chroma v0.4.0 (#6937)
• Log embedding vectors to callback manager (#6962)

Bug Fixes / Nits

• add more robust embedding timeouts (#6779)
• improved connection session management on postgres vector store (#6843)

[v0.7.9] - 2023-07-15

New Features

• specify embed_model="local" to use default local embbeddings in the service context (#6806)
• Add async acall endpoint to BasePydanticProgram (defaults to sync version). Implement for OpenAIPydanticProgram

Bug Fixes / Nits

• fix null metadata for searching existing vector dbs (#6912)
• add module guide docs for SimpleDirectoryReader (#6916)
• make sure CondenseQuestionChatEngine streaming chat endpoints work even if not explicitly setting streaming=True in the underlying query engine.

[v0.7.8] - 2023-07-13

New Features

• Added embedding speed benchmark (#6876)
• Added BEIR retrieval benchmark (#6825)

Bug Fixes / Nits

• remove toctrees from deprecated_terms (#6895)
• Relax typing dependencies (#6879)
• docs: modification to evaluation notebook (#6840)
• raise error if the model does not support functions (#6896)
• fix(bench embeddings): bug not taking into account string length (#6899)x

[v0.7.7] - 2023-07-13

New Features

• Improved milvus consistency support and output fields support (#6452)
• Added support for knowledge graph querying w/ cypyer+nebula (#6642)
• Added Document.example() to create documents for fast prototyping (#6739)
• Replace react chat engine to use native reactive agent (#6870)

Bug Fixes / Nits

• chore: added a help message to makefile (#6861)

Bug Fixes / Nits

• Fixed support for using SQLTableSchema context_str attribute (#6891)

[v0.7.6] - 2023-07-12

New Features

• Added sources to agent/chat engine responses (#6854)
• Added basic chat buffer memory to agents / chat engines (#6857)
• Adding load and search tool (#6871)
• Add simple agent benchmark (#6869)
• add agent docs (#6866)
• add react agent (#6865)

Breaking/Deprecated API Changes

• Replace react chat engine with native react agent (#6870)
• Set default chat mode to "best": use openai agent when possible, otherwise use react agent (#6870)

Bug Fixes / Nits

• Fixed support for legacy vector store metadata (#6867)
• fix chroma notebook in docs (#6872)
• update LC embeddings docs (#6868)

[v0.7.5] - 2023-07-11

New Features

• Add Anthropic LLM implementation (#6855)

Bug Fixes / Nits

• Fix indexing error in SentenceEmbeddingOptimizer (#6850)
• fix doc for custom embedding model (#6851)
• fix(silent error): Add validation to SimpleDirectoryReader (#6819)
• Fix link in docs (#6833)
• Fixes Azure gpt-35-turbo model not recognized (#6828)
• Update Chatbot_SEC.ipynb (#6808)
• Rename leftover original name to LlamaIndex (#6792)
• patch nested traces of the same type (#6791)

[v0.7.4] - 2023-07-08

New Features

• MetadataExtractor - Documnent Metadata Augmentation via LLM-based feature extractors (#6764)

Bug Fixes / Nits

• fixed passing in query bundle to node postprocessors (#6780)
• fixed error in callback manager with nested traces (#6791)

[v0.7.3] - 2023-07-07

New Features

• Sub question query engine returns source nodes of sub questions in the callback manager (#6745)
• trulens integration (#6741)
• Add sources to subquestion engine (#6745)

Bug Fixes / Nits

• Added/Fixed streaming support to simple and condense chat engines (#6717)
• fixed response_mode="no_text" response synthesizer (#6755)
• fixed error setting num_output and context_window in service context (#6766)
• Fix missing as_query_engine() in tutorial (#6747)
• Fixed variable sql_query_engine in the notebook (#6778)
• fix required function fields (#6761)
• Remove usage of stop token in Prompt, SQL gen (#6782)

[v0.7.2] - 2023-07-06

New Features

• Support Azure OpenAI (#6718)
• Support prefix messages (e.g. system prompt) in chat engine and OpenAI agent (#6723)
• Added CBEventType.SUB_QUESTIONS event type for tracking sub question queries/responses (#6716)

Bug Fixes / Nits

• Fix HF LLM output error (#6737)
• Add system message support for langchain message templates (#6743)
• Fixed applying node-postprocessors (#6749)
• Add missing CustomLLM import under llama_index.llms (#6752)
• fix(typo): get_transformer_tokenizer_fn (#6729)
• feat(formatting): black[jupyter] (#6732)
• fix(test): test_optimizer_chinese (#6730)

[v0.7.1] - 2023-07-05

New Features

• Streaming support for OpenAI agents (#6694)
• add recursive retriever + notebook example (#6682)

[v0.7.0] - 2023-07-04

New Features

• Index creation progress bars (#6583)

Bug Fixes/ Nits

• Improved chat refine template (#6645)

Breaking/Deprecated API Changes

• Change BaseOpenAIAgent to use llama_index.llms.OpenAI. Adjust chat_history to use List[ChatMessage]] as type.
• Remove (previously deprecated) llama_index.langchain_helpers.chain_wrapper module.
• Remove (previously deprecated) llama_index.token_counter.token_counter module. See migration guide for more details on new callback based token counting.
• Remove ChatGPTLLMPredictor and HuggingFaceLLMPredictor. See migration guide for more details on replacements.
• Remove support for setting cache via LLMPredictor constructor.
• Update BaseChatEngine interface:
  • adjust chat_history to use List[ChatMessage]] as type
  • expose chat_history state as a property
  • support overriding chat_history in chat and achat endpoints
• Remove deprecated arguments for PromptHelper: max_input_size, embedding_limit, max_chunk_overlap
• Update all notebooks to use native openai integration (#6696)

[v0.6.38] - 2023-07-02

New Features

• add optional tqdm progress during index creation (#6583)
• Added async support for "compact" and "refine" response modes (#6590)
• [feature]add transformer tokenize functionalities for optimizer (chinese) (#6659)
• Add simple benchmark for vector store (#6670)
• Introduce llama_index.llms module, with new LLM interface, and OpenAI, HuggingFaceLLM, LangChainLLM implementations. (#6615)
• Evaporate pydantic program (#6666)

Bug Fixes / Nits

• Improve metadata/node storage and retrieval for RedisVectorStore (#6678)
• Fixed node vs. document filtering in vector stores (#6677)
• add context retrieval agent notebook link to docs (#6660)
• Allow null values for the 'image' property in the ImageNode class and se… (#6661)
• Fix broken links in docs (#6669)
• update milvus to store node content (#6667)

[v0.6.37] - 2023-06-30

New Features

• add context augmented openai agent (#6655)

[v0.6.36] - 2023-06-29

New Features

• Redis support for index stores and docstores (#6575)
• DuckDB + SQL query engine notebook (#6628)
• add notebook showcasing deplot data loader (#6638)

Bug Fixes / Nits

• More robust JSON parsing from LLM for SelectionOutputParser (#6610)
• bring our loaders back in line with llama-hub (#6630)
• Remove usage of SQLStructStoreIndex in notebooks (#6585)
• MD reader: remove html tags and leave linebreaks alone (#6618)
• bump min langchain version to latest version (#6632)
• Fix metadata column name in postgres vector store (#6622)
• Postgres metadata fixes (#6626, #6634)
• fixed links to dataloaders in contribution.md (#6636)
• fix: typo in docs in creating custom_llm huggingface example (#6639)
• Updated SelectionOutputParser to handle JSON objects and arrays (#6610)
• Fixed docstring argument typo (#6652)

[v0.6.35] - 2023-06-28

• refactor structured output + pydantic programs (#6604)

Bug Fixes / Nits

• Fix serialization for OpenSearch vector stores (#6612)
• patch docs relationships (#6606)
• Bug fix for ignoring directories while parsing git repo (#4196)
• updated Chroma notebook (#6572)
• Backport old node name (#6614)
• Add the ability to change chroma implementation (#6601)

[v0.6.34] - 2023-06-26

Patch Update (v0.6.34.post1)

• Patch imports for Document obj for backwards compatibility (#6597)

New Features

• New TextNode/Document object classes based on pydantic (#6586)
• TextNode/Document objects support metadata customization (metadata templates, exclude metadata from LLM or embeddings) (#6586)
• Nodes no longer require flat metadata dictionaries, unless the vector store you use requires it (#6586)

Bug Fixes / Nits

• use NLTK_DATA env var to control NLTK download location (#6579)
• [discord] save author as metadata in group_conversations.py (#6592)
• bs4 -> beautifulsoup4 in requirements (#6582)
• negate euclidean distance (#6564)
• add df output parser notebook link to docs (#6581)

Breaking/Deprecated API Changes

• Node has been renamed to TextNode and is imported from llama_index.schema (#6586)
• TextNode and Document must be instantiated with kwargs: Document(text=text) (#6586)
• TextNode (fka Node) has a id_ or node_id property, rather than doc_id (#6586)
• TextNode and Document have a metadata property, which replaces the extra_info property (#6586)
• TextNode no longer has a node_info property (start/end indexes are accessed directly with start/end_char_idx attributes) (#6586)

[v0.6.33] - 2023-06-25

New Features

• Add typesense vector store (#6561)
• add df output parser (#6576)

Bug Fixes / Nits

• Track langchain dependency via bridge module. (#6573)

[v0.6.32] - 2023-06-23

New Features

• add object index (#6548)
• add SQL Schema Node Mapping + SQLTableRetrieverQueryEngine + obj index fixes (#6569)
• sql refactor (NLSQLTableQueryEngine) (#6529)

Bug Fixes / Nits

• Update vector_stores.md (#6562)
• Minor BaseResponseBuilder interface cleanup (#6557)
• Refactor TreeSummarize (#6550)

[v0.6.31] - 2023-06-22

Bug Fixes / Nits

• properly convert weaviate distance to score (#6545)
• refactor tree summarize and fix bug to not truncate context (#6550)
• fix custom KG retrieval notebook nits (#6551)

[v0.6.30] - 2023-06-21

New Features

• multi-selector support in router query engine (#6518)
• pydantic selector support in router query engine using OpenAI function calling API (#6518)
• streaming response support in CondenseQuestionChatEngine and SimpleChatEngine (#6524)
• metadata filtering support in QdrantVectorStore (#6476)
• add PGVectorStore to support postgres with pgvector (#6190)

Bug Fixes / Nits

• better error handling in the mbox reader (#6248)
• Fix blank similarity score when using weaviate (#6512)
• fix for sorted nodes in PrevNextNodePostprocessor (#6048)

Breaking/Deprecated API Changes

• Refactor PandasQueryEngine to take in df directly, deprecate PandasIndex (#6527)

[v0.6.29] - 2023-06-20

New Features

• query planning tool with OpenAI Function API (#6520)
• docs: example of kg+vector index (#6497)
• Set context window sizes for Cohere and AI21(J2 model) (#6485)

Bug Fixes / Nits

• add default input size for Cohere and AI21 (#6485)
• docs: replace comma with colon in dict object (#6439)
• extra space in prompt and error message update (#6443)
• [Issue 6417] Fix prompt_templates docs page (#6499)
• Rip out monkey patch and update model to context window mapping (#6490)

[v0.6.28] - 2023-06-19

New Features

• New OpenAI Agent + Query Engine Cookbook (#6496)
• allow recursive data extraction (pydantic program) (#6503)

Bug Fixes / Nits

• update mongo interface (#6501)
• fixes that we forgot to include for openai pydantic program (#6503) (#6504)
• Fix github pics in Airbyte notebook (#6493)

[v0.6.27] - 2023-06-16

New Features

• Add node doc_id filtering to weaviate (#6467)
• New TokenCountingCallback to customize and track embedding, prompt, and completion token usage (#6440)
• OpenAI Retrieval Function Agent (#6491)

Breaking/Deprecated API Changes

• Deprecated current token tracking (llm predictor and embed model will no longer track tokens in the future, please use the TokenCountingCallback (#6440)
• Add maximal marginal relevance to the Simple Vector Store, which can be enabled as a query mode (#6446)

Bug Fixes / Nits

• as_chat_engine properly inherits the current service context (#6470)
• Use namespace when deleting from pinecone (#6475)
• Fix paths when using fsspec on windows (#3778)
• Fix for using custom file readers in SimpleDirectoryReader (#6477)
• Edit MMR Notebook (#6486)
• FLARE fixes (#6484)

[v0.6.26] - 2023-06-14

New Features

• Add OpenAIAgent and tutorial notebook for "build your own agent" (#6461)
• Add OpenAIPydanticProgram (#6462)

Bug Fixes / Nits

• Fix citation engine import (#6456)

[v0.6.25] - 2023-06-13

New Features

• Added FLARE query engine (#6419).

[v0.6.24] - 2023-06-12

New Features

• Added better support for vector store with existing data (e.g. allow configurable text key) for Pinecone and Weaviate. (#6393)
• Support batched upsert for Pineone (#6393)
• Added initial guidance integration. Added GuidancePydanticProgram for generic structured output generation and GuidanceQuestionGenerator for generating sub-questions in SubQuestionQueryEngine (#6246).

[v0.6.23] - 2023-06-11

Bug Fixes / Nits

• Remove hardcoded chunk size for citation query engine (#6408)
• Mongo demo improvements (#6406)
• Fix notebook (#6418)
• Cleanup RetryQuery notebook (#6381)

[v0.6.22] - 2023-06-10

New Features

• Added SQLJoinQueryEngine (generalization of SQLAutoVectorQueryEngine) (#6265)
• Added support for graph stores under the hood, and initial support for Nebula KG. More docs coming soon! (#2581)
• Added guideline evaluator to allow llm to provide feedback based on user guidelines (#4664)
• Added support for MongoDB Vector stores to enable Atlas knnbeta search (#6379)
• Added new CitationQueryEngine for inline citations of sources in response text (#6239)

Bug Fixes

• Fixed bug with delete_ref_doc not removing all metadata from the docstore (#6192)
• FIxed bug with loading existing QDrantVectorStore (#6230)

Miscellaneous

• Added changelog officially to github repo (#6191)

[v0.6.21] - 2023-06-06

New Features

• SimpleDirectoryReader has new filename_as_id flag to automatically set the doc_id (useful for refresh_ref_docs())
• DocArray vector store integration
• Tair vector store integration
• Weights and Biases callback handler for tracing and versioning indexes
• Can initialize indexes directly from a vector store: index = VectorStoreIndex.from_vector_store(vector_store=vector_store)

Bug Fixes

• Fixed multimodal notebook
• Updated/fixed the SQL tutorial in the docs

Miscellaneous

• Minor docs updates
• Added github pull-requset templates
• Added github issue-forms

[v0.6.20] - 2023-06-04

New Features

• Added new JSONQueryEngine that uses JSON schema to deliver more accurate JSON query answers
• Metadata support for redis vector-store
• Added Supabase vector store integration

Bug Fixes

• Fixed typo in text-to-sql prompt

Breaking/Deprecated API Changes

• Removed GPT prefix from indexes (old imports/names are still supported though)

Miscellaneous

• Major docs updates, brought important modules to the top level

[v0.6.19] - 2023-06-02

New Features

• Added agent tool abstraction for llama-hub data loaders

Miscellaneous

• Minor doc updates

[v0.6.18] - 2023-06-02

Miscellaneous

• Added Discover LlamaIndex video series to the tutorials docs section
• Minor docs updates