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RAG Knowledge Platform

RAG Knowledge Platform by Yosof Omrani: a walkthrough of the problem, source structure, technology and public edition scope.

Python · FastAPI · React · TypeScript

Problem and context

Questioning a document collection requires ingestion, retrieval and conversation workflows. This source separates backend and frontend responsibilities for document-grounded knowledge work.

Implementation represented in the source

  • Ingestion and retrieval modules for document preparation and lookup
  • Backend graph-knowledge and conversation-memory paths
  • React workspaces, features and state organization
  • Extension points for model providers, databases and task services
Source architecture diagram; not an application screenshot

Source architecture diagram; not an application screenshot

Scope and evidence

Answer quality, retrieval behavior and confidentiality in the target environment require independent evaluation and configuration. Real documents and service keys are absent from the public source.

Applying the structure to a related project

Review this structure when scoping an internal knowledge assistant, document integrations and source-grounded retrieval workflows.

Explore source and documentation on GitHub

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