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Enterprise Knowledge Platform

Built an enterprise knowledge workspace with six ingestion pipelines and 226,142+ indexed chunks across four sources, powered by Qdrant.

Enterprise Knowledge Platform workflow: Sources → Embeddings → Qdrant vectors → Scoped RAG → Cited answers. Vector search · Retrieval-augmented generation.

Six sources. One grounded workspace. · Role: Architect & Engineer

Architecture

  • Separate pipelines ingest documentation, training, delivery assets, architecture references, problem records, and support cases.
  • Deterministic chunk IDs make ingestion resumable without duplicate vectors.
  • Retrieval checks access grants and returns named sources to dedicated personas.

Results & scale

  • 226,142+ chunks across four counted sources
  • Six ingestion pipelines and three grounded personas

Technology stack

  • Open WebUI
  • Qdrant
  • Azure AI Foundry
  • Python
  • PostgreSQL

My contribution

Designed and built the ingestion pipelines, retrieval integrations, client extensions, and deployment on Open WebUI.

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