AI Agents
gortex
Gortex, in Go — built for high-performance code-intelligence engine for ai agents.
★ 1.9k starsApache-2.0
View guide →// agents · qdrant/qdrant
qdrant
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.
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.
so here's a placeholder. The guide below is complete regardless.
// project facts
Project facts
- 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
- Pick a first task
Choose one real workload to test the project against.
- Download the project
Clone it locally and read through the getting-started guide.
- Wire up dependencies
Install the stack it needs and set any environment variables.
- 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
- Step 1 — Clone the repo
Download the source and move into the project folder.
git clone https://github.com/qdrant/qdrant.git cd qdrant - Step 2 — Build
Compile the Rust engine.
cargo build --release - 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
- Add semantic search to an AI product.
- Build RAG over large document collections.
- Run image similarity search.
- Prototype recommendation features quickly.
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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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Get qdrant
Free and open — grab the source, star the repo, and start creating.