RAG & Knowledge
Retrieval-augmented systems over your own documents and data. Internal Q&A, document assistants, and knowledge search that answers accurately from your content.
- Vector DBs
- Index
- Hybrid + Reranking
- Retrieval
Overview
RAG turns your documents into an answer engine. We ingest, embed, and index your content — contracts, manuals, policies, support history — and build a question-answering layer that grounds every answer in a citation. It's how you give an LLM your business context without retraining a model.
Who this is for
What we deliver
Everything that ships when we turn your documents into answers.
How we work
Source mapping
Where the knowledge actually lives. Access, permissions, freshness.
Ingest & index
Chunk, embed, store. Hybrid retrieval — semantic + keyword for proper-noun precision.
Evaluate
Run against a real test set. Tune until the accuracy bar is consistently hit.
Ship & maintain
Ship the UI, wire access control, schedule the refreshes. Care plan keeps it accurate.
Source mapping
Where the knowledge actually lives. Access, permissions, freshness.
Ingest & index
Chunk, embed, store. Hybrid retrieval — semantic + keyword for proper-noun precision.
Evaluate
Run against a real test set. Tune until the accuracy bar is consistently hit.
Ship & maintain
Ship the UI, wire access control, schedule the refreshes. Care plan keeps it accurate.
Scope & pricing
Search
One knowledge base, turned into an answer engine.
- Ingestion pipeline for your documents
- Q&A UI with source citations
- Eval harness against real questions
Assistant
Multiple sources, access-controlled, kept current.
- Hybrid retrieval with reranking
- Access control by role
- Scheduled refresh as content changes
Platform
Woven into the internal tools your team already uses.
- Embedded in your existing systems
- Multi-source, multi-team access
- Continuous accuracy tuning
Every engagement gets a fixed price in writing, confirmed within 48 hours of a scoping call.
Start a conversationCapabilities
Have a knowledge base nobody reads?
We'll turn it into something people actually ask questions of. Scoping call gets the first numbers on the table.
Start a conversationQuestions, answered
Every answer is grounded with a citation back to the source document, and we test against a real question set before launch.
Add a conversational layer on top and your team — or your customers — can just ask.
Field notes from the build.
Practical write-ups on the services above — architecture calls, trade-offs, and what they cost in practice.