A simple example showing how to use Chain of Thought Prompting with RAG using Mastra, OpenAI, and PGVector.
Lightweight JavaScript library for parsing and manipulating TAK messages
Lightweight JavaScript library for communicating with TAK Server
A a collection of languages stemmers and stopwords for Lunr Javascript library
The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.
A Node-RED node to register to TAK and to help wrap files as datapackages to send to TAK
A rag component for Convex.
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.
Lightweight JavaScript library for parsing and manipulating TAK messages
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`.
Retrivora AI is a plug-and-play AI engine for RAG chat experiences — generic vector DB + LLM provider, embeddable or standalone.
The official Pinecone TypeScript SDK for building vector search applications with AI/ML.
Extract clean, timestamped YouTube captions, subtitles, transcripts, and video metadata for AI summaries, RAG, search, and slide-ready workflows.
Local RAG MCP Server - Easy-to-setup document search with minimal configuration
VoltAgent Core - AI agent framework for JavaScript
> 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.
Persistent RAG layer for Claude Code sessions
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CouchDB library with a simple, functional-programing-friendly API, returning promises
No description provided.
Runflow SDK - Multi-agent AI framework
No description provided.
No description provided.