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Internal Knowledge Base with RAG — Chat Q&A Interface

Budget: $35.0 - $50.0 HOURLY / FULL_TIME ⭐ 0.00 (0) Georgia

python, react-js, javascript

We're building an internal knowledge management tool that lets our team query a document base (text files + PDFs) through a chat interface and get fast, accurate answers. Key requirement: all responses must be strictly citation-based — every answer references the exact source document and passage it came from. No hallucinations, no unsourced claims. What we need: Document ingestion pipeline (text + PDF) Vector search / RAG setup with a reliable LLM Clean chat UI for Q&A Source citations displayed with every response Admin panel or simple way to add/update documents You're a good fit if you've built RAG pipelines before and know how to tune retrieval for precision over recall. Stack is open — propose what makes sense. Please share relevant examples from past projects.
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