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Release Notes

v1.6 — Semantic Search

Semantic search joins keyword search in a unified hybrid pipeline. Embeddings on every document, Qdrant Cloud as the vector store.

v1.6 — Semantic Search

Released 2025-08-19.

Added

  • Semantic search — every uploaded document is embedded; queries are embedded and matched
  • Hybrid ranking — combines SQL Server full-text score with semantic similarity
  • Q&A endpoint at /api/v1/search/qa — retrieval-augmented question answering against the tenant's corpus
  • Related documents panel on document detail view — top-3 semantically similar documents

Changed

  • Search bar UI — now shows result type (Document / FAQ / Person / Contract) inline
  • Search results — display semantic confidence score for transparency

Performance

  • Embedding generation moved to background queue; document upload no longer blocks on embedding
  • Vector store is Qdrant Cloud (per-tenant collections); average query latency under 80ms

Fixed

  • Cross-language semantic search (English query → Swahili document) was producing biased results favouring English; now corrected with multilingual embedding model

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