Private knowledge, grounded replies
Index wikis, PDFs, and tickets so answers pull from your corpus — not the model’s memory alone.
Private RAG over your documents — grounded retrieval, citations, and secure deployment. Not another generic chatbot demo.
Click a stage to see what fails without retrieval — and what we automate so answers stay tied to your sources.
Four surfaces that turn private knowledge into answers people can verify.
Index wikis, PDFs, and tickets so answers pull from your corpus — not the model’s memory alone.
Vector search that surfaces the right passage even when the question uses different words.
VPC / private endpoints, access controls, and audit trails so enterprise data does not leak into public chat.
Summaries, Q&A, and drafting that show which sources shaped the output — ready for human review.
From knowledge map to a pilot your team can trust — then improve with evals.
Map sources, owners, and the questions that matter. Cut noise before you build an index.
Chunk, embed, and tune retrieval so the right context reaches the model every time.
Citation UX, refusal rules, and eval sets that catch hallucination before users do.
Ship a scoped pilot, watch quality signals, and refresh the index as documents change.
Bring the corpus and the questions that matter. We’ll outline a retrieval path, citation UX, and a pilot that proves trust — not just a demo.