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By orchestra-research

qdrant-vector-search

orchestra-research911 installs

Build filtered vector search with Qdrant.

What it does

Guides the implementation of Qdrant-backed vector search for retrieval systems, filtered search, and recommendations.

When to use it

Use when building production retrieval systems that need low-latency vector search, metadata filtering, horizontal scaling, or multiple vectors per record.

How to use it

It changes how the agent implements Qdrant search in a project, guiding batching, indexing, storage, and connection reuse.

What you provide

  • An existing project

Uses

Latest review

What you need · 3

The client examples use Python; no Python version is specified.

Declares qdrant-client version 1.12.0 or newer as a dependency.


Access · 3

This skill

Qdrant

Write

Stores vectors in Qdrant

qdrant-client

Execute

Installs the Qdrant client