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qdrant

qdrant/qdrant

High-performance, massive-scale Vector Database and Vector Search Engine for AI

GitHub Website

GraphCanon updated Sep 30, 2026 · GitHub synced Sep 20, 2026

186views this month

35k stars2.7k forksLast push Sep 18, 2026 Rust Apache-2.0

Decision brief

Qdrant is a high-performance vector database and search engine built for AI applications, offering distributed deployment with sharding and replication.

Good fit when

When you need a scalable solution for vector search that supports distributed deployment with sharding and replication.
If your application requires zero downtime during updates or resizing of collections.

Avoid when

If your project requires a database that is not built in Rust, and you have constraints against using Rust-based solutions.
When you need a vector database that does not support distributed deployment, as Qdrant's strength lies in its scalability features.

Pricing:: freemium - Qdrant offers a free open-source version under the Apache License, with additional paid services available in the cloud.
Requirements:: Min 2 GB RAM; Qdrant supports distributed deployment, which may require additional resources depending on the scale of deployment.

Observed Sep 18, 2026 · Source: enrich:decision_facts

qdrant alternatives Trust report

qdrant vs weaviate qdrant vs deep-searcher qdrant vs milvus

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (34,655) are secondary evidence.

Docker Hub pulls (30d): 46,147,175·Docker Hub API·Sep 18, 2026

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 18, 2026
Provenance: Not a fork · Organization account; As of Sep 18, 2026
Security (OSV): No lockfile; As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Backing

Company context for Qdrant. Display-only - separate from trust and ranking.

Company: Qdrant·GitHub org profile·Jul 11, 2026
Funding: $28,000,000 (2024-01)·GraphCanon curated seed (public press)·Jul 11, 2026
Commercial model: Open core·GraphCanon curated seed·Jul 11, 2026

Install

cargo add qdrant

crates.io

How it fits your stack(33)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

meilisearch

MeiliSearch and Qdrant both offer vector search capabilities, supporting the use of AI for hybrid search operations. Both tools are designed to integrate semantic text searching with vector similarity searches.

alternative

milvus

Qdrant and Milvus both serve as high-performance vector databases for scalable vector ANN search, making them alternatives in the space of AI-powered similarity search.

alternative

chroma

Chroma and Qdrant are both vector search engines aimed at next-generation AI applications, serving as alternatives due to their high performance and scalability.

alternative

Integrates

qdrant-client

Qdrant provides vector search capabilities and storage for vector databases, while qdrant-client serves as a Python interface allowing developers to perform operations on Qdrant instances programmatically, establishing an 'integrates with' relationship between them.

integrates

VectorDBBench

Qdrant is another high-performance vector database also benchmarked by VDBBench, integrating through performance testing and evaluation.

integrates

NeumAI

As Neum AI manages the creation and synchronization of vector embeddings, Qdrant as a high-performance Vector Database could be used in conjunction to store and search these embeddings.

integrates

VectorChord

Qdrant and VectorChord both focus on vector search, but they operate in different environments (standalone vs PostgreSQL extension).

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

pgvecto.rs

Scalable, Low-latency and Hybrid-enabled Vector Search in Postgres

2.2k★

jvector

JVector: the most advanced embedded vector search engine

1.8k★

awesome-vector-search

Collections of vector search related libraries, service and research papers

1.6k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

Qdrant is a scalable vector database and search engine for AI applications, supporting distributed deployment with sharding and replication.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 18, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 18, 2026
Languages: rust
Source: github.language · Sep 18, 2026

Graph entities

Qdrantcompany

README

Distributed Deployment Scale horizontally with sharding and replication, and update or resize collections with zero downtime. License Qdrant is licensed under the Apache License, Version 2.0. View a copy of the License file.

For agents

This page has a .md twin and JSON over the API.

/tools/qdrant-qdrant.md GET /api/graphcanon/tools/qdrant-qdrant GET /api/graphcanon/graph?tool=qdrant-qdrant

qdrant

Decision brief

Good fit when

Avoid when

Verify the decision

Adoption

Maintenance and security

Backing

Install

How it fits your stack(33)

Alternative

Integrates

Related

Relationship graph

Similar tools

Evidence and technical details

Overview

Capability facts

Categories

Graph entities

Tags

README

For agents