- Added experimental automated embeddings (OpenAI, HuggingFace, user‑provided) and hybrid search combining keyword and semantic results.
- Introduced breaking changes to vector search API: mandatory embedder model, new hybrid parameter, vectors must be JSON objects; added configurable task webhook and batched‑task limit options.
- Improved indexing speed and reduced disk usage; added proximity precision setting and assorted bug fixes.
v1.6.0 🦊
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Added environment variable to limit concurrent LMDB read transactions for the task queue.
Reverts a recent search speed optimisation introduced in PR #6542 to fix related issues
Reverted the `/tasks/stream` and `/batches/stream` Server-Sent Events (SSE) endpoints.