A simple TypeScript/Node.js package for building **RAG (Retrieval-Augmented Generation)** pipelines with [LangChain](https://js.langchain.com/), [Pinecone](https://www.pinecone.io/), and OpenAI models.
AI-powered floating chat widget that integrates with RAG API
TypeScript REST client for the Textral RAG API. Pairs with @textral/contracts.
VecML RAG API测试工具
Official TypeScript/JavaScript SDK for EdgeQuake RAG API
Node SDK for the Ziqara citation-backed RAG API
Neuradex SDK for Node.js - Knowledge management and RAG API
A rag component for Convex.
A a collection of languages stemmers and stopwords for Lunr Javascript library
The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
REST API server for CodeRAG — Express-based server with authentication, rate limiting, and OpenAPI docs
Phase 2 of the catalog plane. Adds vector embeddings, AI-agent access patterns, and the MCP server scaffolding on top of the Phase 1 foundation in `@voyantjs/catalog`.
Extract clean, timestamped YouTube captions, subtitles, transcripts, and video metadata for AI summaries, RAG, search, and slide-ready workflows.
Official Node.js SDK for the Ragora RAG API - Build AI-powered knowledge bases
> LlamaCloud is a new generation of managed parsing, ingestion, and retrieval services, designed to bring production-grade context-augmentation to your LLM and RAG applications.
A JavaScript library for Retrieval-Augmented Generation (RAG) within the QVAC ecosystem. Build powerful, context-aware AI applications with seamless document ingestion, vector search, and LLM integration.
A agent component for Convex.
<p align="left"> <a href="https://r2r-docs.sciphi.ai"><img src="https://img.shields.io/badge/docs.sciphi.ai-3F16E4" alt="Docs"></a> <a href="https://discord.gg/p6KqD2kjtB"><img src="https://img.shields.io/discord/1120774652915105934?style=social&logo=
Nodes n8n para API RAG Multi-Domínio - Busca semântica, ingestão de documentos e gerenciamento de banco de dados vetorial
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
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Retrivora AI is a plug-and-play AI engine for RAG chat experiences — generic vector DB + LLM provider, embeddable or standalone.
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The official Pinecone TypeScript SDK for building vector search applications with AI/ML.
One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel. With additional features from the community.
Fork of RubyLLM with features to power Swarm, a multi-agent orchestration framework. One beautiful Ruby API for GPT, Claude, Gemini, and more. Easily build chatbots, AI agents, RAG applications, and content generators. Features chat (text, images, audio, PDFs), image generation, embeddings, tools (function calling), structured output, Rails integration, and streaming. Works with OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, Mistral, Ollama (local models), OpenRouter, Perplexity, GPUStack, and any OpenAI-compatible API. Minimal dependencies - just Faraday, Zeitwerk, and Marcel.
Add vector search to your Ruby apps without external services. zvec provides native bindings to Alibaba's high-performance C++ vector database via Rice, supporting HNSW, IVF, and flat indexes with multiple distance metrics. Build semantic search, recommendations, RAG pipelines, and similarity matching with pure Ruby — no HTTP APIs, no infrastructure, no latency overhead.
Bring the power of AI to your Rails app without the boilerplate. VectorRecord seamlessly synchronizes your Active Record models with vector databases (like pgvector), providing an idiomatic, convention-driven API for generating LLM embeddings and powering Retrieval-Augmented Generation (RAG).
LEANN (Lightweight Embedding-Aware Neural Neighbor) is a Ruby gem for building and searching vector indexes with minimal storage. It provides semantic search and RAG capabilities with a beautiful, simple API. Supports multiple embedding providers: RubyLLM, OpenAI, Ollama, and FastEmbed.
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