Vector-database Packages

AI-powered translation tool for i18n files with vector database support

The memory layer for Personalized AI in Typescript

A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.

A tool to process markdown files from GitHub repositories and store them in Upstash Vector

A TypeScript client for interacting with the asimpleVectors API.

A tool to process markdown files from GitHub repositories and store them in Upstash Vector

A RAG-based document question answering system

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/).

RAG (Retrieval Augmented Generation) library for MongoDB Vector Search

Integração n8n com deep-searcher para busca semântica e integração LLM

n8n node for Memory Box API integration

A TypeScript/JavaScript module for implementing Retrieval-Augmented Generation (RAG) using Qdrant vector database, Google's Generative AI embeddings, and Groq LLM.

A React UI component library for ChromaDB integration

A lightweight local vector database implementation in Node.js similar to ChromaDB

An MCP server for semantic documentation search and retrieval using vector databases to augment LLM capabilities.

A Model Context Protocol server for fetching and storing documentation in a vector database, enabling semantic search and retrieval to augment LLM capabilities with relevant documentation context.

MCP server implementation for RAG with vector database support

SPARC 2.0 - Autonomous Vector Coding Agent + MCP. SPARC 2.0, vectorized AI code analysis, is an intelligent coding agent framework built to automate and streamline software development. It combines secure execution environments, and version control into

An AI memory system enabling personalized, context-aware interactions through advanced memory management and emotional intelligence

Model Context Protocol server with multi-agent orchestration, vector database integration, and monitoring capabilities