Retrieval-augmented generation grounds the model in your documents, your policies, your data — with citations, access control, and a human gate where it matters. Built on our Elastic Center of Excellence, not a weekend vector-store wrapper.
A model that guesses confidently is a liability in healthcare, BFSI, and legal. RAG keeps the answer tied to a source you can audit.
The hard part was never the embedding — it's retrieval that respects permissions, stays fresh, and shows its work. That's what we build.
Connect your sources, chunk and embed them, and carry permissions through — so retrieval never returns what the user isn't allowed to see.
Hybrid search on Elastic — semantic plus keyword — tuned for recall on enterprise documents, not benchmark demos.
The model answers from retrieved context, with citations back to the source. Low-confidence answers route to a human, not to a hallucination.
Our Elastic Center of Excellence is certified delivery, not certified sales.
Access control travels with the data into the index — retrieval respects the same boundaries your systems do.
Pipelines keep the index current as source systems change, so answers reflect today, not last quarter.
We measure retrieval quality and answer faithfulness — if you can't measure it, it's still an experiment.
Every answer traces to its source. Compliance is architecture, not a checkbox.
We lead with Elastic for hybrid search, and integrate others where your stack already lives. The store is a choice, not a lock-in.