Python Qdrant client library

Client library for the Qdrant vector search engine.

Library contains type definitions for all Qdrant API and allows to make both Sync and Async requests.

Pydantic is used for describing request models and httpx for handling http queries.

Client allows calls for all Qdrant API methods directly. It also provides some additional helper methods for frequently required operations, e.g. initial collection uploading.

Installation

ToDo

Examples

Instance a client

from qdrant_client import QdrantClient

client = QdrantClient(host="localhost", port=6333)

Create a new collection

client.recreate_collection(
    collection_name="my_collection",
    vector_size=100
)

Get info about created collection

my_collection_info = client.http.collections_api.get_collection("my_collection")
print(my_collection_info.dict())

Search for similar vectors

query_vector = np.random.rand(100)
hits = client.search(
    collection_name="my_collection",
    query_vector=query_vector,
    query_filter=None,  # Don't use any filters for now, search across all indexed points
    append_payload=True,  # Also return a stored payload for found points
    top=5  # Return 5 closest points
)