aws-samples/rag-with-amazon-bedrock-and-opensearch

Opinionated sample on how to build and deploy a RAG application with Amazon Bedrock and OpenSearch

48
/ 100
Emerging

Implements an event-driven document ingestion pipeline where PDFs trigger Lambda functions to extract text, generate vector embeddings via OpenAI, and automatically index content in OpenSearch for semantic search. The architecture layers Streamlit frontend, LangChain orchestration, and Bedrock foundation models on ECS with Cognito authentication and ALB routing, using AWS CDK for infrastructure-as-code deployment across multiple stacks.

No Package No Dependents
Maintenance 10 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 14 / 25

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Stars

54

Forks

8

Language

Python

License

MIT-0

Category

aws-bedrock-rag-implementations

Last pushed

Mar 01, 2026

Commits (30d)

0

GitHub
AWS Bedrock RAG Implementations · 71 tools

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