LLM and AI-Infused Applications with Java and Spring AI

Samples showing how to build Java applications powered by Generative AI and Large Language Models (LLMs) using Spring AI.

Pre-Requisites

• Java 23
• Docker/Podman

Content

0. Use Cases

Project	Description
chatbot	Chatbot using LLMs via Ollama.
question-answering	Question answering with documents (RAG) using LLMs via Ollama and PGVector.
semantic-search	Semantic search using LLMs via Ollama and PGVector.
structured-data-extraction	Structured data extraction using LLMs via Ollama.
text-classification	Text classification using LLMs via Ollama.

1. Chat Completion Models

Project	Description
chat-models-mistral-ai	Text generation with LLMs via Mistral AI.
chat-models-ollama	Text generation with LLMs via Ollama.
chat-models-openai	Text generation with LLMs via OpenAI.
chat-models-multiple-providers	Text generation with LLMs via multiple providers.

2. Prompts, Messages, and Templates and Multimodality

Project	Description
prompts-basics-ollama	Prompting using simple text with LLMs via Ollama.
prompts-basics-openai	Prompting using simple text with LLMs via OpenAI.
prompts-messages-ollama	Prompting using structured messages and roles with LLMs via Ollama.
prompts-messages-openai	Prompting using structured messages and roles with LLMs via OpenAI.
prompts-templates-ollama	Prompting using templates with LLMs via Ollama.
prompts-templates-openai	Prompting using templates with LLMs via OpenAI.

3. Structured Output

Project	Description
structured-output-ollama	Converting the LLM output to structured JSON and Java objects via Ollama.
structured-output-openai	Converting the LLM output to structured JSON and Java objects via Open AI.

4. Multimodality

Project	Description
multimodality-ollama	Multimodality to include various media in a prompt with LLMs via Ollama.
multimodality-openai	Multimodality to include various media in a prompt with LLMs via OpenAI.

5. Function Calling

Project	Description
function-calling-mistral-ai	Function calling with LLMs via Mistral AI.
function-calling-ollama	Function calling with LLMs via Ollama.
function-calling-openai	Function calling with LLMs via OpenAI.

6. Embedding Models

Project	Description
embedding-models-mistral-ai	Vector transformation (embeddings) with LLMs via Mistral AI.
embedding-models-ollama	Vector transformation (embeddings) with LLMs via Ollama.
embedding-models-openai	Vector transformation (embeddings) with LLMs via OpenAI.
embedding-models-transformers	Vector transformation (embeddings) with LLMs via ONNX Sentence Transformers.

7. Data Ingestion

Project	Description
document-readers-json-ollama	Reading and vectorizing JSON documents with LLMs via Ollama.
document-readers-pdf-ollama	Reading and vectorizing PDF documents with LLMs via Ollama.
document-readers-text-ollama	Reading and vectorizing text documents with LLMs via Ollama.
document-readers-tika-ollama	Reading and vectorizing documents with LLMs and Tika via Ollama.
document-transformers-metadata-ollama	Enrich documents with keywords and summary metadata for enhanced retrieval via Ollama.
document-transformers-splitters-ollama	Divide documents into chunks to fit the LLM context window via Ollama.

8. Vector Stores

Coming soon

9. Retrieval Augmented Generation (RAG)

Project	Description
rag-naive	Basic question answering with documents (RAG) using LLMs via Ollama and PGVector.

10. Memory

Coming soon

11. Image Models

Project	Description
image-models-openai	Image generation with LLMs via OpenAI.

12. Audio Models

Project	Description
audio-models-speech-openai	Speech generation with LLMs via OpenAI.
audio-models-transcription-openai	Speech transcription with LLMs via OpenAI.

13. Moderation Models

Coming soon

14. Observability

Project	Description
observability-models-mistral-ai	LLM Observability for Mistral AI.
observability-models-ollama	LLM Observability for Ollama.
observability-models-openai	LLM Observability for OpenAI.
observability-vector-stores-pgvector	Vector Store Observability for PGVector.

15. Evaluation

Coming soon

16. Agents

Coming soon

References and Additional Resources

• Spring AI Reference Documentation

Conferences

• Introducing Spring AI by Christian Tzolov and Mark Pollack (Spring I/O 2024)
• Spring AI Is All You Need by Christian Tzolov (GOTO Amsterdam 2024)
• Concerto for Java and AI - Building Production-Ready LLM Applications by Thomas Vitale (Spring I/O 2024)

Videos

• Building Intelligent Applications With Spring AI by Dan Vega (JetBrains Live Stream)
• Spring AI Series by Dan Vega
• Spring AI Series by Craig Walls
• Spring AI Series by Josh Long

Demos

• Airline Customer Support (Marcus Hellberg)
• Composer Assistant (Thomas Vitale)
• Document Assistant (Marcus Hellberg)
• Flight Booking (Christian Tzolov)

Workshops

• Spring AI - Zero to Hero (Adib Saikali, Christian Tzolov)