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aws-samples/serverless-pdf-chat ★ 296 270 APPLICATION

This repository implements a serverless document chat application that allows users to upload PDF documents and ask natural language questions. The backend is composed of AWS Lambda functions orchestrated by Amazon API Gateway, S3, SQS, and DynamoDB. PDF processing uses LangChain with FAISS for vector embeddings and Amazon Bedrock (Claude Sonnet) for LLM inference. The frontend is a React SPA with TypeScript, TailwindCSS, and AWS Amplify authentication. Architecture follows an event-driven serverless pattern: upload triggers S3 event → Lambda extracts PDF metadata, stores in DynamoDB, sends SQS message → another Lambda generates embeddings and stores FAISS index in S3. Chat requests invoke a Lambda that loads the FAISS index, retrieves relevant context, and uses a ConversationalRetrievalChain with DynamoDB-backed memory. The code is clean and follows AWS best practices with Powertools logging, but lacks tests and hardcodes the Bedrock region to us-east-1. It is a solid reference implementation for building a RAG-based Q&A system on AWS.

RATING: 7.4/10 MAINT: active DRIFT: medium
#serverless #rag #langchain #amazon-bedrock #pdf-chat #react #aws-lambda #ai
▸ 2 reusable components found
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