LibreAI / AI Agents / qdrant
// agents · qdrant/qdrant

qdrant

A high-performance vector search engine for next-gen AI.

★ 35.0k stars⑂ 2.7k forksApache-2.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

qdrant is an open-source ai agents project by qdrant (qdrant/qdrant on GitHub). It has 34,969 GitHub stars and 2,731 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 8 October 2026.

Repository
qdrant/qdrant
GitHub stars
34,969
Forks
2,731
License
Apache-2.0
Last updated on GitHub
8 October 2026
Category
AI Agents
Listing
Full install guide
Official site
Official site
// how it works

How it works

  1. Pick a first task

    Choose one real workload to test the project against.

  2. Download the project

    Clone it locally and read through the getting-started guide.

  3. Wire up dependencies

    Install the stack it needs and set any environment variables.

  4. Run and verify

    Execute the starter example and check results before going further.

// features

Why people love it

Hybrid search

Combines vector and keyword search in one query.

HNSW indexing

Fast approximate nearest neighbor queries.

Rust performance

Low-latency, memory-efficient core.

Rich filtering

Payload-based structured filtering alongside vectors.

Cloud option

Managed cloud available alongside self-hosting.

Apache-2.0

Permissive licensing.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/qdrant/qdrant.git
    cd qdrant
  2. Step 2 — Build

    Compile the Rust engine.

    cargo build --release
  3. Step 3 — Run it

    Start the server (Docker is the fastest path per the docs).

    # see docs for the Docker quickstart
    ./target/release/qdrant
// use cases

What you can build

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// faq

Questions, answered

Who maintains Qdrant?

It is maintained by the qdrant organization at qdrant/qdrant, with 2,731 forks. Check the changelog for the latest stable release.

Is Qdrant free to use?

The open-source engine is free under Apache-2.0; the managed cloud is the paid path.

Do I need a paid API to use it?

Self-hosting is free. You only pay if you choose the managed cloud or for the embedding/LLM APIs you call.

How does it compare to other vector databases?

Compare with Milvus, Weaviate, and Chroma on operations, filtering, and scale.

How do I get started?

The Docker quickstart in the docs is the fastest route; load a sample collection and run a search.

// keep exploring

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// alternatives

Alternatives in AI Agents

The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if qdrant is not the right fit.

Get qdrant

Free and open — grab the source, star the repo, and start creating.