LanceDB Node.js Vector Search

what is LanceDB Node.js Vector Search?

LanceDB Node.js Vector Search is a Node.js implementation that allows users to perform vector similarity searches using LanceDB and Ollama's embedding model.

how to use LanceDB Node.js Vector Search?

To use this project, clone the repository, install the dependencies, and run the vector search test script to see the results.

key features of LanceDB Node.js Vector Search?

• Connects to a LanceDB database for data storage.
• Custom embedding functions can be created using Ollama.
• Performs vector similarity searches against stored documents.
• Processes and displays search results effectively.

use cases of LanceDB Node.js Vector Search?

1. Searching for relevant documents based on vector similarity.
2. Integrating with other applications as an MCP service.
3. Customizing embedding functions for specific data types.

FAQ from LanceDB Node.js Vector Search?

• What are the prerequisites for using this project?

You need Node.js (v14 or later), Ollama running locally, and a LanceDB storage location with read/write permissions.

• How do I install the project?

Clone the repository and run pnpm install to install the dependencies.

• Can I contribute to this project?

Yes! Contributions are welcome, and you can submit a Pull Request.