Qdrant

VectorDatabase
14 stars
Custom
Free and open-source (Note: Qdrant Cloud has its own pricing tiers)
12/5/2024

About

Supercharge your vector search capabilities with this powerful Model Context Protocol server that integrates seamlessly with Qdrant vector database. This high-performance implementation enables AI models to efficiently search, store, and retrieve vector embeddings, making it perfect for semantic search, recommendation systems, and similarity matching tasks while leveraging Qdrant's advanced features like payload filtering and dynamic updates.

Setup Instructions

Clone the repository:

bashCopygit clone https://github.com/qdrant/mcp-server-qdrant.git

Navigate to the project:

bashCopycd mcp-server-qdrant

Install dependencies:

bashCopypip install -r requirements.txt

Configure Qdrant:

Set up Qdrant instance (local or cloud)
Configure connection settings in config file
Set API key if using cloud version


Environment setup:

Create .env file
Add Qdrant URL: QDRANT_URL=your_url_here
Add API key if needed: QDRANT_API_KEY=your_key_here


Run the server:

bashCopypython main.py
Note: Requires a running Qdrant instance (either local or cloud)

Contributors

qdrant's avatar

qdrant

Owner

kacperlukawski's avatar

kacperlukawski

1 contributions

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