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Added conversation search use case with RAG tool
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Signed-off-by: owaiskazi19 <[email protected]>
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owaiskazi19 committed Jun 7, 2024
1 parent 13b32f1 commit 34ca587
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Expand Up @@ -132,6 +132,13 @@ public enum DefaultUseCases {
"defaults/conversational-search-defaults.json",
"substitutionTemplates/conversational-search-with-cohere-model-template.json",
List.of(CREATE_CONNECTOR_CREDENTIAL_KEY)
),
/** defaults file and substitution ready template for conversational search with bedrock chat model*/
CONVERSATIONAL_SEARCH_WITH_BEDROCK_DEPLOY(
"conversational-search-with-bedrock-rag-tool",
"defaults/conversational-search-rag-tool-defaults.json",
"substitutionTemplates/conversational-search-with-bedrock-rag-tool-template.json",
List.of(CREATE_CONNECTOR_CREDENTIAL_ACCESS_KEY, CREATE_CONNECTOR_CREDENTIAL_SECRET_KEY, CREATE_CONNECTOR_CREDENTIAL_SESSION_TOKEN)
);

private final String useCaseName;
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{
"template.name": "deploy-bedrock-chat-model",
"template.description": "A template to deploy a Bedrock chat model",
"create_bedrock_connector.name": "Amazon Bedrock Connector: Claude Instant V1",
"create_bedrock_connector.description": "The connector to bedrock Claude model",
"create_bedrock_connector.protocol": "aws_sigv4",
"create_bedrock_connector.actions.url": "https://bedrock-runtime.us-west-2.amazonaws.com/model/anthropic.claude-instant-v1/invoke",
"create_bedrock_connector.actions.request_body": "{\"prompt\":\"${parameters.prompt}\", \"max_tokens_to_sample\":${parameters.max_tokens_to_sample}, \"temperature\":${parameters.temperature}, \"anthropic_version\":\"${parameters.anthropic_version}\" }",
"create_bedrock_connector.credential.access_key": "",
"create_bedrock_connector.credential.secret_key": "",
"create_bedrock_connector.credential.session_token": "",
"create_embedding_connector.name": "Amazon Bedrock Connector: embedding",
"create_embedding_connector.description": "The connector to bedrock Titan embedding model",
"create_embedding_connector.protocol": "aws_sigv4",
"create_embedding_connector.actions.url": "https://bedrock-runtime.us-west-2.amazonaws.com/model/amazon.titan-embed-text-v2:0/invoke",
"create_embedding_connector.actions.request_body": "{ \"inputText\": \"${parameters.inputText}\" }",
"register_bedrock_model.name": "anthropic.claude-v2",
"register_bedrock_model.description": "bedrock-chat-model",
"register_bedrock_embedding_model.name": "Bedrock embedding model v2",
"register_bedrock_embedding_model.description": "Bedrock embedding model v2",
"create_ingest_pipeline.pipeline_id": "nlp-ingest-pipeline",
"create_ingest_pipeline.description": "A neural ingest pipeline",
"text_embedding.field_map.input": "passage_text",
"text_embedding.field_map.output": "passage_embedding",
"create_index.name": "my-nlp-index",
"create_index.mappings.method.engine": "lucene",
"create_index.mappings.method.space_type": "l2",
"create_index.mappings.method.name": "hnsw",
"text_embedding.field_map.output.dimension": "1024",
"rag_tool.parameters.prompt": "\n\nHuman:You are a professional data analysist. You will always answer question based on the given context first. If the answer is not directly shown in the context, you will analyze the data and find the answer. If you don't know the answer, just say don't know. \n\n Context:\n${parameters.output_field:-}\n\n\nHuman:${parameters.question}\n\nAssistant:",
"root_agent.parameters.parameters": "Answer the question as best you can.",
"root_agent.name": "Root agent",
"root_agent.description": "this is the root agent"
}
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{
"name": "${{template.name}}",
"description": "${{template.description}}",
"use_case": "CONVERSATION_SEARCH",
"version": {
"template": "1.0.0",
"compatibility": [
"2.12.0",
"3.0.0"
]
},
"workflows": {
"provision": {
"nodes": [
{
"id": "create_bedrock_connector",
"type": "create_connector",
"user_inputs": {
"name": "${{create_bedrock_connector.name}}",
"description": "Test connector for Amazon Bedrock",
"version": "1",
"protocol": "${{create_bedrock_connector.protocol}}",
"credential": {
"access_key": "${{create_bedrock_connector.credential.access_key}}",
"secret_key": "${{create_bedrock_connector.credential.secret_key}}",
"session_token": "${{create_bedrock_connector.credential.session_token}}"
},
"parameters": {
"max_tokens_to_sample": "8000",
"service_name": "bedrock",
"temperature": "1.0E-4",
"response_filter": "$.completion",
"region": "us-west-2",
"anthropic_version": "bedrock-2023-05-31"
},
"actions": [
{
"action_type": "PREDICT",
"method": "POST",
"url": "${{create_bedrock_connector.actions.url}}",
"headers": {
"x-amz-content-sha256": "required",
"content-type": "application/json"
},
"request_body": "${{create_bedrock_connector.actions.request_body}}"
}
]
}
},
{
"id": "create_embedding_connector",
"type": "create_connector",
"user_inputs": {
"name": "${{create_embedding_connector.name}}",
"description": "${{create_embedding_connector.description}}",
"version": "1",
"protocol": "${{create_embedding_connector.protocol}}",
"credential": {
"access_key": "${{create_bedrock_connector.credential.access_key}}",
"secret_key": "${{create_bedrock_connector.credential.secret_key}}",
"session_token": "${{create_bedrock_connector.credential.session_token}}"
},
"parameters": {
"service_name": "bedrock",
"model": "amazon.titan-embed-text-v2:0",
"region": "us-west-2",
"anthropic_version": "bedrock-2023-05-31"
},
"actions": [
{
"action_type": "PREDICT",
"method": "POST",
"url": "${{create_embedding_connector.actions.url}}",
"headers": {
"x-amz-content-sha256": "required",
"content-type": "application/json"
},
"request_body": "${{create_embedding_connector.actions.request_body}}",
"pre_process_function": "connector.pre_process.bedrock.embedding",
"post_process_function": "connector.post_process.bedrock.embedding"
}
]
}
},

{
"id": "register_bedrock_model",
"type": "register_remote_model",
"previous_node_inputs": {
"create_bedrock_connector": "connector_id"
},
"user_inputs": {
"name": "${{register_bedrock_model.name}}",
"function_name": "remote",
"description": "${{register_bedrock_model.description}}",
"deploy": true
}
},
{
"id": "register_bedrock_embedding_model",
"type": "register_remote_model",
"previous_node_inputs": {
"create_embedding_connector": "connector_id"
},
"user_inputs": {
"name": "${{register_bedrock_embedding_model.name}}",
"description": "${{register_bedrock_embedding_model.description}}",
"function_name": "remote",
"deploy": true
}
},
{
"id": "create_ingest_pipeline",
"type": "create_ingest_pipeline",
"previous_node_inputs": {
"register_bedrock_embedding_model": "model_id"
},
"user_inputs": {
"pipeline_id": "${{create_ingest_pipeline.pipeline_id}}",
"configurations": {
"description": "${{create_ingest_pipeline.description}}",
"processors": [
{
"text_embedding": {
"model_id": "${{register_bedrock_embedding_model.model_id}}",
"field_map": {
"${{text_embedding.field_map.input}}": "${{text_embedding.field_map.output}}"
}
}
}
]
}
}
},
{
"id": "create_index",
"type": "create_index",
"previous_node_inputs": {
"create_ingest_pipeline": "pipeline_id"
},
"user_inputs": {
"index_name": "${{create_index.name}}",
"configurations": {
"settings": {
"index": {
"default_pipeline": "${{create_ingest_pipeline.pipeline_id}}",
"knn": "true"
}
},
"mappings": {
"properties": {
"${{text_embedding.field_map.input}}": {
"type": "text"
},
"${{text_embedding.field_map.output}}": {
"type": "knn_vector",
"method": {
"engine": "${{create_index.mappings.method.engine}}",
"space_type": "${{create_index.mappings.method.space_type}}",
"name": "${{create_index.mappings.method.name}}",
"parameters": {}
},
"dimension": "${{text_embedding.field_map.output.dimension}}"
}
}
}
}
}
},
{
"id": "rag_tool",
"type": "create_tool",
"previous_node_inputs": {
"register_bedrock_model": "model_id",
"register_bedrock_embedding_model": "model_id"
},
"user_inputs": {
"type": "RAGTool",
"name": "RAGTool",
"parameters": {
"inference_model_id": "${{register_bedrock_model.model_id}}",
"embedding_model_id": "${{register_bedrock_embedding_model.model_id}}",
"index": "${{create_index.name}}",
"embedding_field": "${{text_embedding.field_map.output}}",
"source_field": "[\"${{text_embedding.field_map.input}}\"]",
"query_type": "neural",
"input": "${parameters.question}",
"prompt": "${{rag_tool.parameters.prompt}}",
"include_output_in_agent_response": true
}
}
},
{
"id": "root_agent",
"type": "register_agent",
"previous_node_inputs": {
"rag_tool": "tools"
},
"user_inputs": {
"parameters": {
"prompt": "${{root_agent.parameters.parameters}}"
},
"app_type": "chatbot",
"name": "${{root_agent.name}}",
"description": "${{root_agent.description}}",
"tools_order": [
"rag_tool"
],
"memory": {
"type": "conversation_index"
},
"type": "flow"
}
}
]
}
}
}
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@@ -1,7 +1,7 @@
{
"name": "${{template.name}}",
"description": "${{template.description}}",
"use_case": "SEMANTIC_SEARCH",
"use_case": "CONVERSATION_SEARCH",
"version": {
"template": "1.0.0",
"compatibility": [
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