AI Traditional and Advanced RAG Solutions

AI that answers from your own documents and data, with sources your team and customers can check.

Stop digging through files and stop trusting AI guesses. We build RAG (retrieval-augmented generation) systems that find the right information in your documents and databases before the AI answers. Start with traditional RAG for a dependable knowledge assistant, or choose advanced RAG when your content is large or complex. Already have a RAG system? Our RAG optimization work improves its answer quality, speed and running costs.

• Traditional RAG: document indexing, vector search and cited answers
• Advanced RAG: hybrid search, re-ranking and query rewriting
• RAG optimization for answer quality, speed and cost
• Testing against your real questions before launch

Traditional RAG: the fast way to start

Best for policies, manuals, product guides and support content. We prepare and index your documents, then connect them to an AI assistant that answers in plain language and shows its sources.

Advanced RAG: for complex knowledge

Best for large or mixed content, technical language and multi-step questions. We add hybrid search, re-ranking and query rewriting, so the AI can find the right passage when simple search is not enough.

Not sure which one you need?

Send us a sample of your documents and the questions people ask. We will recommend the right approach and give you a clear scope, timeline and quote.

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