Qdrant (Skill Router)

This file is intentionally introductory.

It acts as a router: based on your situation, open the right note under references/.

Release Highlights (1.19.0 → 1.19.1)

TurboQuant 4-bit as primary storage: the "turbo4" datatype stores only 4-bit quantized vectors, sparing disk space on originals.
Per-component memory strategy: collection components now take "memory": "cold" / "cached" / "pinned" for fine-grained control over memory vs performance. Deprecates max_resident_memory_percent of strict mode in favor of the new global quota API.
Keyword prefix match: {"match": {"prefix": "..."}} in filters matches keywords by prefix; must be enabled in the keyword index.
Sparse search: per-query IDF corpus for better per-tenant/sparse ranking.
Slice filtering: sliced scroll / deterministic sampling via a slice filter condition.
Global quota API: central place to cap cluster resource usage (supersedes the strict-mode memory ceiling).
Routing token: deterministic read routes when the read affinity option is in use.
1.19.1: 4-bit TurboQuant SIMD rework and batched HNSW searches (faster scoring), quantized scoring prefetch, plus input hardening — rejects empty dense vectors, vectors larger than 65536, and ./.. in collection names (security).