Qdrant
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next gener
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About
Vector Search Engine for the next generation of AI applications
Qdrant (read: _quadrant_) is a vector similarity search engine and vector database. It provides a production-ready service with a convenient API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and other applications.
Qdrant is written in Rust 🦀, which makes it fast and reliable even under high load. See benchmarks.
With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more!
Qdrant is also available as a fully managed [Qdrant Cloud](https://cloud.qdrant.io/) ⛅ including a free tier.
Quick Start • Client Libraries • Demo Projects • Integrations • Contact
Getting Started
Python
pip install qdrant-clientThe python client offers a convenient way to start with Qdrant locally:
from qdrant_client import QdrantClient
qdrant = QdrantClient(":memory:") # Create in-memory Qdrant instance, for testing, CI/CD
# OR
client = QdrantClient(path="path/to/db") # Persists changes to disk, fast prototypingClient-Server
To experience the full power of Qdrant locally, run the container with this command:
docker run -p 6333:6333 qdrant/qdrant!CAUTION] Starts an insecure deployment without authentication open to all network interfaces. Please refer to [secure your instance.
Now you can connect to this with any client, including Python:
qdrant = QdrantClient("http://localhost:6333") # Connect to existing Qdrant instanceBefore deploying Qdrant to production, be sure to read our installation and security guides.
Clients
Qdrant offers the following client libraries to help you integrate it into your application stack with ease:
- Official:
- Go client
- Rust client
- JavaScript/TypeScript client
- Python client
- .NET/C# client
- Java client
- Community:
- Elixir
- PHP
- Ruby
- Java
Where do I go from here?
Don't lose this
Three weeks from now, you'll want Qdrant again. Will you remember where to find it?
Save it to your library and the next time you need Qdrant, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
This plugs directly into your AI and gives it new abilities it didn't have before. Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next gener. Once connected, just ask your AI to use it. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Your data stays between you and your AI — nothing is shared with us or anyone else.
What's New
Imported from GitHub
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