What is the LanceDB MCP Server?

The LanceDB MCP Server is a Node.js implementation for performing vector search using LanceDB and Ollama’s embedding model. It acts as a bridge between LLMs and vector databases, enabling AI agents to access and interact with relevant contextual information.

What is LanceDB?

LanceDB is a modern data format for AI, designed for high-performance vector search and analytics. It is optimized for storing and querying vector embeddings.

What is MCP?

MCP stands for Model Context Protocol. It’s an open protocol that standardizes how applications provide context to LLMs.

How does the LanceDB MCP Server integrate with UBOS?

The LanceDB MCP Server integrates seamlessly with the UBOS platform, allowing AI agents to leverage vector search capabilities for enhanced context retrieval and decision-making. By configuring the LanceDB MCP server in UBOS, AI agents can query the server to find relevant information from the LanceDB database.

What are the prerequisites for using the LanceDB MCP Server?

• Node.js (v14 or later)
• Ollama running locally with the nomic-embed-text model
• LanceDB storage location with read/write permissions

How do I install the LanceDB MCP Server?

1. Clone the repository.
2. Install dependencies: pnpm install

How do I configure the LanceDB MCP Server?

You need to configure the path to your LanceDB database and the Ollama API endpoint in the server’s configuration. You also need to configure the server in your UBOS MCP configuration.

How do I create a LanceDB database?

You can use the LanceDB Python or Node.js client libraries to create a database and populate it with data.

What is the OllamaEmbeddingFunction?

The OllamaEmbeddingFunction is a custom function that sends text to the Ollama API to generate embeddings. It receives embeddings with 768 dimensions and formats them for use with LanceDB.

Can I use a different embedding model?

Yes, you can customize the OllamaEmbeddingFunction to use different embedding models.

Where can I find the documentation for LanceDB?

Visit the official LanceDB documentation for detailed information about LanceDB’s features and API.