Your organization's knowledge is scattered across documents, wikis, emails and databases. Retrieval-augmented generation (RAG) turns that sprawl into a single assistant that answers questions accurately — with citations pointing back to the source.
We build the full pipeline: ingestion, chunking, embeddings, vector search, re-ranking and answer generation, tuned on your actual content and evaluated for accuracy before launch.
Employees ask questions in plain language and get cited, current answers.
Support content that answers directly instead of returning ten links.
PDFs, Office files, wikis, tickets and databases kept in sync automatically.
Every answer traceable to its source, with hallucination testing.
Users only get answers from content they're allowed to see.
Run the entire stack on your own infrastructure for full data control.
Tell us about your project and we'll come back with a plan. No obligation, no cost for the first consultation.
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