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llama-stack-mirror/docs/source/providers/vector_io/qdrant.md

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Qdrant

Qdrant is a remote vector database provider for Llama Stack. It allows you to store and query vectors directly in memory. That means you'll get fast and efficient vector retrieval.

Features

  • Easy to use
  • Fully integrated with Llama Stack

Usage

To use Qdrant in your Llama Stack project, follow these steps:

  1. Install the necessary dependencies.
  2. Configure your Llama Stack project to use Faiss.
  3. Start storing and querying vectors.

Installation

You can install Qdrant using docker:

docker pull qdrant/qdrant

Documentation

See the Qdrant documentation for more details about Qdrant in general.