We turn your scattered documents into a base you can query in natural language, where every answer cites its source.
An AI that makes up an answer is a legal and commercial risk. RAG grounds every answer in your documents: sourced, verifiable, up to date.
We gather your scattered documents and prepare them for search. We collect your scattered documents, clean them and index them to make them searchable, whatever their source or format.
PDFs, wikis, Drive, databases.
Clean and up to date.
Everyone sees only what they should.
Search that understands intent, not just keywords. Semantic search that understands the intent behind the question, not just the keywords, and surfaces the passages that truly matter.
Understands intent.
The exact passage.
In real time.
A plain-language answer, with a link to the original document. The AI answers clearly and always cites the original document, for reliable, verifiable answers with nothing made up.
In your docs.
Cited and clickable.
Zero fabrication.
A document changes, the base updates, the answers follow. When a document changes, the base re-indexes and the answers follow, keeping knowledge current with no manual maintenance.
Automatic.
History preserved.
Never stale information.
From ingesting your sources to sourced generation, a reliable assistant that only answers based on your documents.
A short, transparent process built to ship fast without ever improvising.
We identify the questions to handle and the sources that count as truth in your organization.
Document chunking, choice of search engine, citation rules. We design the grounding.
Source ingestion, vector database, an assistant wired up and tested on your real questions.
We measure answer quality, fill knowledge gaps, and keep the base up to date.
A consulting firm opened its 10,000 documents to a RAG assistant. Consultants now find the right clause in seconds, source included.
Answers that are grounded, never invented.
This service is at its strongest combined with the rest of our expertise.
Your questions about RAG and AI knowledge.
30 minutes to identify the questions to handle and the sources that count as truth.