Define the knowledge problem first
When answers are scattered across policies, files and individual experience, internal search can take time. A knowledge assistant helps users find authorised sources and can produce a response with citations. Before choosing a model, select one user group and a defined question set, such as finding a request procedure or the approved version of a policy. Sensitive financial advice or automatic action requires separate controls. Examples in this guide are hypothetical and disclose no Roham client project information.
What RAG does, and its limitations
Retrieval-augmented generation, or RAG, retrieves relevant source passages and supplies them to an answer-generating model. This can connect responses to organisational knowledge, but does not guarantee correctness. Outdated sources, poor retrieval and incorrect interpretation remain possible. Show document titles and reference locations so users can inspect the original material. When evidence is insufficient, the right response may acknowledge limitations or ask for clarification. Uploading files into a chatbot alone does not create a dependable enterprise system.
Apply permissions before retrieval
Knowledge permitted for one department may not be permitted across the organisation. Record the document owner, access level, version and validity date. Enforce access during retrieval and source viewing; a textual instruction to the model is not an access-control mechanism. Employee departures, role changes and deleted documents should also propagate to search sources. Use approved information in the agreed environment for testing. Internal hosting versus an external service is an architectural and information-policy decision, not a choice to make solely from a demo.
Evaluate cited answers with a test set
Include supported questions, unanswerable questions, conflicting documents, stale information and questions outside a user’s permissions. Record expected behaviour and acceptable sources before testing. Assess citation validity separately from writing fluency: does the cited document actually support the claim? Unsupported answers, time to reach a source and expert corrections can be pilot measures. Repeat the evaluation after changes to models, sources or retrieval, adding newly observed failures. Measures should describe the scoped task, rather than suggest a universal accuracy score.
Prepare a scoped pilot
Prepare a user group, source owner, approved document samples, frequent questions, an access matrix, acceptance criteria and a review owner. Choose a narrow scope with verifiable answers. Define how users report incorrect responses and how the assistant can be stopped. Training should explain source inspection and escalation when evidence is missing. After evaluating quality and adoption, decide whether to expand sources or use cases. Assistant engineering, data integration and employee training are connected parts of this delivery approach.