
Enterprise RAG Assistant
A production-grade retrieval-augmented generation assistant that grounds LLM answers in enterprise documents. Built with a chunking pipeline, hybrid vector + keyword search over Qdrant, and a LangGraph orchestration layer that supports multi-step reasoning, citations, and guardrails.
Challenge: Reducing hallucinations on a 2M-document corpus while keeping p95 retrieval latency under 300ms — solved with hybrid search, reranking, and a citation-grounding step in the graph.

