LanceDB Vector Search

Example Use Cases

• 1

  Index and perform fast vector similarity search over local document collections using LanceDB.

• 2

  Generate embeddings locally via Ollama's nomic-embed-text model and feed them into a vector DB.

• 3

  A Node.js reference implementation to integrate LanceDB-based retrieval into RAG (retrieval-augmented generation) pipelines.

Description

This repository provides a Node.js implementation for performing vector search using LanceDB and generating embeddings via a locally running Ollama model. It includes a custom OllamaEmbeddingFunction, example code to connect to a LanceDB database, and a test script that performs similarity search and displays results. The project is useful for building retrieval-augmented applications and experimenting with local embedding workflows. It is lightweight and intended as a practical demo and starting point for integrating LanceDB and Ollama.