AI Knowledge Automation
An intelligent knowledge layer that makes information across documents and unstructured sources easy to find and use.
View AI Knowledge Automation →Make your product’s knowledge searchable and useful.
For startups building document assistants, research tools, or knowledge features over private content.
Discuss your project ↗What we can deliver
- Document ingestion and update workflows
- Retrieval and source citation integrated into your product
- Access-aware retrieval design and an answer evaluation set
We agree the deliverables and acceptance criteria with you before development begins.
How we approach the work
- Review content quality, permissions, and the questions users ask.
- Build ingestion and retrieval, then compare answers against a test set.
- Test missing answers and document updates before rollout.
A possible starting point
A document assistant that helps customers compare reports and open the passages used in each answer.
This illustrates a potential engagement, rather than a completed client project.What to consider before starting
Answer quality depends on the source material and retrieval. Citations help users verify an answer; they do not guarantee it is correct.
Related insights
Why Your RAG Chatbot Still Gives Old Answers After a Document Update
Updated your documents but your chatbot still gives old answers? Learn how to trace stale information through ingestion, retrieval and caching, with a reusable document-refresh checklist.
Read article →
RAG Knowledge Assistants: Turning Company Data Into Useful Answers
Learn how retrieval-augmented generation transforms scattered documents into accurate, source-aware answers for employees and customers.
Read article →Let’s scope your next step.
Share your product idea, current stage, available data, and any timeline or budget constraints. We’ll help define a useful starting point.
Discuss RAG Knowledge Systems ↗