phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-12-31 13:49:59 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions
llama-stack-mirror/docs/source/providers/vector_io/qdrant.md
Daniele Martinoli 6a7fe6312e qdrant inline provider 
Signed-off-by: Daniele Martinoli <dmartino@redhat.com>
2025-03-14 08:54:11 +01:00

752 B
Raw Blame History

orphan
true

Qdrant

Qdrant is a inline and 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 Qdrant.
  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.