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A lightweight memory-based vector store with persistent storage support for both Node.js and browser environments. Efficiently store, retrieve, and search vector embeddings with minimal dependencies.
- vector
- vector-store
- similarity
- similarity-search
- embeddings
- vector-database
- memory
- text-search
- browser
- node
- lightweight
A Model Context Protocol (MCP) server that provides semantic search capabilities across files. This server watches specified directories and creates vector embeddings of file contents, enabling semantic search across your documents.
Custom embedding node for n8n to work with Supabase Vector Store
A command-line tool that ingests data and generates instant answers using ChatGPT, giving you the Sheldon Cooper you never had at your fingertips.
Node-RED nodes for the Couchbae REST API v7.2.0
React Hook for [`indexed-vector-store`](https://github.com/danielivanovz/indexed-vector-store) package. Used for [demo](https://github.com/danielivanovz/indexed-vector-store-demo) and deployed at my [website](https://app.danielivanov.me/vector-database/).
- natural-language-processing
- indexeddb
- vector-store
- vector-database
- embeddings
- word-embeddings
- semantic-search
- similarity-search
- embeddings-search
- similarity
- semantic
- search
- nlp
A powerful and flexible Retrieval-Augmented Generation (RAG) library for Node.js and TypeScript