Overview
what is LanceDB?
LanceDB is a Node.js implementation for vector search that utilizes LanceDB and Ollama's embedding model to perform efficient similarity searches on stored documents.
how to use LanceDB?
To use LanceDB, clone the repository, install the dependencies, and run the vector search test script to perform searches against your LanceDB database.
key features of LanceDB?
- Connects to a LanceDB database for vector search
- Custom embedding functions using Ollama
- Performs vector similarity search and displays results
use cases of LanceDB?
- Searching for relevant documents based on vector similarity.
- Integrating with other applications as a microservice for document retrieval.
- Enhancing search capabilities in AI applications.
FAQ from LanceDB?
- What are the prerequisites for using LanceDB?
You need Node.js (v14 or later) and Ollama running locally with the
nomic-embed-textmodel.
- How do I install LanceDB?
Clone the repository and run
pnpm installto install the dependencies.
- Can I customize the embedding function?
Yes! The project includes a custom
OllamaEmbeddingFunctionthat you can modify.
Server Config
{
"mcpServers": {
"lanceDB": {
"command": "node",
"args": [
"/path/to/lancedb-node/dist/index.js",
"--db-path",
"/path/to/your/lancedb/storage"
]
}
}
}