Hassan Revel.

Service · Hassan Revel

RAG & knowledge systems.

Hassan develops knowledge assistants that work with documents, databases and APIs. Retrieval, access rules and the response format are designed together so users can find relevant information and understand where an answer came from.

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Illustration of document retrieval and source-grounded answers
Concept illustration · RAG & knowledge systems

01 · The work

Understand the source material

Documents and operational data have different structures, update patterns and access needs. The work begins with identifying authoritative sources, choosing what to index and deciding how new or changed information enters the system.

02 · The work

Treat retrieval as a product feature

Chunking, metadata, embeddings, filters and reranking shape what reaches the model. Hassan tests retrieval against realistic questions and looks at the returned context, not only the final wording of an answer.

03 · The work

Make uncertainty visible

The assistant should be able to cite available sources, ask for clarification or explain when the information is insufficient. Evaluation examples help distinguish retrieval issues from response-generation issues as the system evolves.

A practical starting point

Send the current workflow, available data and intended outcome. Hassan can use that context to define the scope, integrations and delivery steps.

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Related work

The service, in practice.

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