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qdrant-client

Client library for the Qdrant vector search engine

qdrant-client Permissive license Apache-2.0 Active 1,343 v1.19.0 released

Install

qdrant-client on PyPI

pip

pip install qdrant-client

uv

uv add qdrant-client

poetry

poetry add qdrant-client

Package facts

License Apache-2.0 (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 7 — grpcio, httpx, numpy, portalocker, protobuf, pydantic, urllib3
Maintenance actively maintained — 9 days since the last release
Last repo commit
First released
Popularity one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities none known (OSV.dev, checked 2026-08-13)

Evidence: qdrant_client-1.19.0-py3-none-any.whl

Keywords: vector, search, neural, matching, client

License :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14

About qdrant-client

from the package's own PyPI description — quoted content, verbatim

<p align="center"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://github.com/qdrant/qdrant/raw/master/docs/logo-dark.svg"> <source media="(prefers-color-scheme: light)" srcset="https://github.com/qdrant/qdrant/raw/master/docs/logo-light.svg"> <img height="100" alt="Qdrant" src="https://github.com/qdrant/qdrant/raw/master/docs/logo.svg"> </picture> </p>

<p align="center"> <b>Python Client library for the <a href="https://github.com/qdrant/qdrant">Qdrant</a> vector search engine.</b> </p>

<p align=center> <a href="https://pypi.org/project/qdrant-client/"><img src="https://badge.fury.io/py/qdrant-client.svg" alt="PyPI version" height="18"></a> <a href="https://api.qdrant.tech/"><img src="https://img.shields.io/badge/Docs-OpenAPI%203.0-success" alt="OpenAPI Docs"></a> <a href="https://github.com/qdrant/qdrant-client/blob/master/LICENSE"><img src="https://img.shields.io/badge/License-Apache%202.0-success" alt="Apache 2.0 License"></a> <a href="https://qdrant.to/discord"><img src="https://img.shields.io/badge/Discord-Qdrant-5865F2.svg?logo=discord" alt="Discord"></a> <a href="https://qdrant.to/roadmap"><img...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Python client library for Qdrant vector search engine, supporting both local in-memory mode and remote server connections via REST or gRPC APIs.

Low friction installation with seven well-established runtime dependencies (grpcio, httpx, numpy, portalocker, protobuf, pydantic, urllib3). Package is actively maintained with a recent release 9 days ago and consistent commit history.

Apache-2.0 permissive license allows commercial use, modification, and distribution with minimal restrictions, making it suitable for proprietary projects.

Usage

pip install qdrant-client

from qdrant_client import QdrantClient

# Local mode
client = QdrantClient(":memory:")

# Or connect to server
client = QdrantClient(host="localhost", port=6333)

Requires Python 3.10 or later; local mode works without external dependencies, but server mode requires a running Qdrant instance.

Verdict: Actively maintained, well-integrated client with low install friction and no known vulnerabilities. Apache-2.0 license is permissive. Suitable for production vector search applications with both local development and remote deployment paths.

Needs verification

  • Performance characteristics and latency profiles for typical use cases at scale
  • Compatibility guarantees with specific Qdrant server versions beyond the current release
  • Memory footprint and resource requirements for large-scale local mode deployments
vector search clientqdrant python sdksemantic search libraryvector database clientembedding searchneural similarity matchinglocal vector store

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