qdrant-vector-search

Install

Runs in a terminal with Node.js 18 or newer. Add -y to skip the prompts and -g to install for every project instead of this one.

What it does

Qdrant - Vector Similarity Search Engine High-performance vector database written in Rust for production RAG and semantic search. When to use Qdrant Use Qdrant when: - Building production RAG systems requiring low latency - Need hybrid search (vectors + metadata filtering) - Require horizontal scaling with sharding/replication - Want on-premise deployment with full data control - Need multi-vector storage per record (dense + sparse) - Building real-time recommendation systems Key features: - Rust-powered: Memory-safe, high performance - Rich filtering: Filter by any payload field during…

Excerpt from the skill's own SKILL.md. Read the full file on GitHub before installing: skills run with your agent's permissions.

Categories

• SEO
• Data
• AI & agents
• Database

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