Rag Packages

Retrieval Augmented Generation (RAG) library for document indexing, vector storage, and AI-powered question answering

DataStax RAGStack for Javascript/Typescript

DataStax RAGStack CLI

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 modular toolkit for building RAG (Retrieval-Augmented Generation) pipelines in Node.js

Node-RED nodes for interacting with the Supermemory.ai API

A RAG (Retrieval-Augmented Generation) package for Forge ML

The core foundation of the Mastra framework, providing essential components and interfaces for building AI-powered applications.

n8n node for chatting with – and now uploading files to – GovAI assistants

Typescript SDK for AskNews API

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

Client SDK for interacting with the Optimaiz logging & trace system.

Model Context Protocol (MCP) server for seamless integration with Onyx AI knowledge bases

Model Context Protocol (MCP) server for seamless integration with Onyx AI knowledge bases

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

Interchange API contracts and OpenAPI spec

This Typescript library provides convenient access to the Needle API.

Developer tools to build integrations and data connectors to Needle

CLI tool for syncing local files to Needle

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