RAG Knowledge Assistant (Demo)
A retrieval-augmented generation system that answers questions over private company documents with cited sources.
RAGLangChainOpenAIFastAPIAWS Lambda
▸ Sub-2s median answer latency
▸ Grounded citations on every answer
The problem
Teams lose hours searching internal docs; generic chatbots hallucinate answers.
The approach
Document ingestion pipeline with chunking + embeddings, vector search, and GPT-4 answer synthesis with source citations. FastAPI backend deployed on AWS Lambda behind API Gateway.
The outcome
Demo system answering document questions with grounded citations at low per-query cost. This is a capability demo — contact me to build one on your data.
Need something like this?
Email me one paragraph about your problem. Honest answer within 24 hours.