RAG Packages

MongoDB Ingest CLI for the MongoDB Chatbot Framework.

Memory-efficient Node.js tool to convert large OpenAPI specifications into CSV format for RAG systems

Backend for your Personal Assistant, powered by Private AI (aka PAPA)

MCP server for Schema Page RAG integration with Cursor

Semantically create chunks from large texts. Useful for workflows involving large language models (LLMs).

An AI-powered codebase interaction tool

Sentence boundary detection document splitter for langchain

A node package for building AI agents

Retrieval Augmented Generation (RAG) and local GPT (text generation LLM - large language models) toolkit for machine learning (ML) apps with node-red

Inspired by LangMem, nodemem-js is a fast, in-memory vector database for Node.js, designed for efficient similarity search of vector embeddings. Perfect for building chat agent memory and semantic retrieval systems.

A Node.js package to interact with the Peslac API for document processing.

Javascript wrapper for prism-ai (prism-ai.ch) - simple, powerful, RAG.

A NodeJS RAG framework to easily work with LLMs and custom datasets

A code relevance system for finding relevant files

A code relevance system for finding relevant files

Automatically and continuously vectorize your PostgreSQL tables with the flexibility of your own embedding pipelines

Optimize Subtitles for RAG Ingestion

RAG Chat bot library

A NodeJS RAG framework to easily work with LLMs and custom datasets

A customizable React chat widget for RAG applications