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aws-samples/serverless-rag-demo
SERVERLESS RAG ON BEDROCK
The project demonstrates using Amazon Bedrock Foundation models together with Amazon OpenSearch Serverless as a vector DB for RAG. Everything is implemented in Python and supports Anthropic Claude Haiku and other models.
// KEY FEATURES
- Indexes documents and stores embeddings in Amazon OpenSearch Serverless.
- Performs similarity search on vectors via OpenSearch Serverless API.
- Integrates Amazon Bedrock Foundation models, including Anthropic Claude Haiku.
- Provides a ready-to-use RAG pipeline example in Python with minimal configuration.
#anthropic#claude#haiku#opensearch#opensearchserverless#rag#sonnet#strands#strands-agents
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