Challenge
Help users ask questions over large policy documents while keeping answers tied to retrieved source context.
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AI Infrastructure
Policy Q&A RAG Service
Document intelligence service for grounded question answering over large policy documents.
A RAG service that ingests policy documents, chunks them with metadata, builds a vector index, and returns grounded answers with source context.
Next.jsTypeScriptFastAPILangChainGroqVector Search
Architecture
The service separates ingestion, vector indexing, retrieval, and answer orchestration so document workflows can be tested independently.
Tradeoff
The project is positioned as AI infrastructure and document intelligence, not as a generic chatbot.