RAG & knowledge assistants
Answers from your documents, with the source attached.
An assistant over your policies, manuals, tickets and wikis. It finds the right passage, answers in plain language and cites where it came from, for your team or your customers.
Typical timeline: 3–6 weeks
Capabilities
What's included
- Ingestion from PDFs, Google Drive, Notion, Confluence, helpdesks and databases
- Chunking, embeddings and hybrid search tuned to your content
- Answers with citations and an honest "I don't know"
- Permission-aware retrieval, so people only see what they may see
- Chat UI in your app, intranet, Slack or website
- Eval set of real questions, with accuracy tracked over time
- Scheduled re-indexing as documents change
How we work
From brief to live
- 01
Scope
2–4 daysSources, users, permissions and fifty real questions to test against.
- 02
Build
2–4 weeksIngestion, retrieval and the chat interface, scored against the question set.
- 03
Launch and tune
2–4 weeksGo-live, feedback buttons and a month of tuning from real usage.
FAQ
Good to know
It answers from retrieved passages, shows its sources and says when it cannot find an answer. The eval set catches drift before users do.
In a vector database on your own cloud account, or fully self-hosted if your data rules require it.
Have something in mind?
Send a short brief or book a 20-minute call. We reply within one working day.