Qdrant

Vector database for AI applications

Using Qdrant Vector Database

Qdrant is a high-performance vector database for AI applications.

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Installation

bash
docker run -p 6333:6333 qdrant/qdrant
pip install qdrant-client

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Basic Usage

python
from qdrant_client import QdrantClient
from qdrant_client.models import Distance, VectorParams

client = QdrantClient("localhost", port=6333)
client.create_collection(
    collection_name="documents",
    vectors_config=VectorParams(size=384, distance=Distance.COSINE)
)

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Features

  • Fast similarity search
  • Filtering and payload support
  • Distributed deployment
  • Real-time updates