MemberJunction: AI Vector/Entity Sync Package - handles synchronization between MemberJunction entities and vector databases

Zero-config CLI that ingests files into vector databases for RAG projects. Parse, chunk, embed, upsert — one command.

Core package for Cortex, the ORM for Vector Databases

Client adapters for vector databases with utilities

RAG Systems Were a Mistake - Replace vector databases with 0.3ms mathematically optimal context selection

Build intelligent AI agents with TypeScript. The SmythOS SDK provides a powerful, developer-friendly API for creating agents with custom skills, workflows, streaming, vector databases, and state management - all with full type safety.

Node.js bindings for Infiniloom - AST-aware code context engine for RAG and vector databases. Tree-sitter parsing, PageRank ranking, BLAKE3 content-addressable chunks, 27+ tokenizers.

A flexible text and data chunking library for vector databases and LLMs

A Model Context Protocol (MCP) server that provides semantic search over Pinecone vector databases using hybrid search (dense + sparse) with reranking.

High-performance synthetic data generator for AI/ML training, RAG systems, and agentic workflows with DSPy.ts, Gemini, OpenRouter, and vector databases

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

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

ChromaDB Admin Management System (CAMS) - A modern web-based admin dashboard for managing ChromaDB vector databases

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

Google analytics for semantic search in vector databases

Unified wrapper around popular vector databases — one API, any backend

A terminal UI for browsing vector databases (Qdrant, Pinecone, Chroma).

Ultimate MASTERMETA AI Agent System Installer - Production-ready CrewAI multi-agent framework with OWASP GenAI security, vector databases, and consciousness framework

Self-learning vector database for Node.js — hybrid search, Graph RAG, FlashAttention-3, HNSW, 50+ attention mechanisms

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