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Decision brief
qdrant-client is a Python-based client designed to interact efficiently with the Qdrant vector database for vector similarity searches.
Good fit when
- - You are working on applications that require efficient management and querying of high-dimensional vectors, such as embeddings from natural language processing tasks.
- - Your project involves real-time or near-real-time retrieval where you need low-latency responses to queries using Qdrant's distributed architecture.
Avoid when
- - You require cross-language support beyond Python for your vector database operations.
- - Your application does not benefit from or does not need the distributed architecture Qdrant offers, preferring instead centralized vector storage methods.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of today
- Provenance
- Not a fork · Organization account
- As of today
- Security (OSV)
- No lockfile
- As of 1mo
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Backing
Company context for Qdrant. Display-only - separate from trust and ranking.
- Company
- Qdrant·GitHub org profile·1mo
- Funding
- $28,000,000 (2024-01)·GraphCanon curated seed (public press)·1mo
- Commercial model
- Open core·GraphCanon curated seed·1mo
Install
pip install qdrant-clientHow it fits your stack(7)
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Evidence and technical details
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Overview
The qdrant/qdrant-client repository offers a Python client to interact with the Qdrant vector search engine. It is part of the Qdrant suite, designed for efficient vector database operations.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Aug 21, 2026
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Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 21, 2026)
pip install qdrant-clientSource link
Tags
README
Installation
pip install qdrant-client
For agents
This page has a .md twin and JSON over the API.