High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
8.7
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0
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AI & LLM
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Excellent skill for Qdrant vector search with comprehensive coverage. The description clearly specifies when to use Qdrant vs alternatives. The skill provides extensive task knowledge including setup, basic/advanced search, RAG integration with multiple frameworks, multi-vector support, quantization, and production deployment patterns. Structure is well-organized with logical sections and proper references to advanced-usage.md and troubleshooting.md. The skill is moderately novel - while a CLI agent could invoke Qdrant APIs, this skill consolidates production patterns (quantization, hybrid search, payload indexing, RAG integration) that would require significant token consumption to discover and implement correctly. Minor improvement area: could be slightly more concise in some code examples, but the comprehensiveness is valuable for production use cases.
davila7
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