Document ingestion
Prepare supported sources, structure content, and track changes.
Help teams find relevant answers in company documents, with source references and access-aware retrieval.
Documents are often scattered across systems, updated at different times, and visible to different teams. A useful knowledge assistant needs more than a search box and a language model.
A useful first discussion covers the source inventory and access model, the people involved, and the constraints that will shape delivery.
Prepare supported sources, structure content, and track changes.
Find relevant material and connect responses to the underlying sources.
Respect the information each user is permitted to see.
Test retrieval relevance, answer support, and uncertainty handling.
For RAG and knowledge assistants, the scope connects the following outputs to the workflow and acceptance criteria agreed for your project.
A support team needs to find the current onboarding policy. A knowledge assistant can surface the relevant steps and link back to the approved guide.
This describes a possible solution, not a completed client project.
Identify the source of truth, document ownership, refresh schedules, permissions, and what the assistant should say when the evidence is insufficient.
Retrieval-augmented generation retrieves relevant material before preparing an answer. It can help connect a response to your approved knowledge, but retrieval and answers still need evaluation.
Yes, the design can use the information each user is permitted to access. Permissions must be enforced in retrieval and source access, not just hidden in the interface.
Agree source ownership, update detection and refresh routines. Changed or withdrawn documents need a defined path through the indexing process.
The assistant should explain that it lacks supporting evidence and offer a useful next step. Include missing and contradictory information in the evaluation set.
Tell us what you’re building, what needs to change, or where you’re getting stuck.