aws-samples/rag-using-langchain-amazon-bedrock-and-opensearch
RAG with langchain using Amazon Bedrock and Amazon OpenSearch
Implements semantic search by generating Titan embeddings for documents stored in OpenSearch's vector engine, then uses LangChain to retrieve relevant context and augment prompts sent to Bedrock foundation models. Supports pluggable model selection across providers (Anthropic Claude, AI21 Jurassic) via command-line parameters, with optional multi-tenant isolation for data filtering during retrieval.
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Jan 07, 2025
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