Service · RAG / knowledge bases · 5.0% demand share

RAG & knowledge bases

Ground LLM answers in your docs, policies, and product knowledge — retrieval you can trust, with citations and refresh paths.

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Who it’s for

  • Teams with messy internal docs and repeated questions
  • Products that must answer from private knowledge
  • Operators burned by hallucinated “company chatbot” launches

What you get

  • Corpus cleanup + chunking strategy
  • Retrieval pipeline + evaluation set
  • Citations in the UI
  • Re-index / refresh process

What this is

RAG (~5.0%) is how you stop LLMs from inventing your policy handbook. Retrieve first, generate second, cite always.

I build the pipeline and the product surface — not just a vector DB demo.

Next step

Tell me what you’re trying to ship. I’ll reply with fit, scope, and a clear first milestone — no pitch deck theater.

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