Abstract RAG (Retrieval-Augmented Generation) interfaces and shared implementations

Plug-and-play retrieval-augmented generation for AgentsKit.

Lightweight, extensible Node.js library for evaluating Retrieval-Augmented Generation (RAG) systems

Retrieval-Augmented Generation (RAG) and vector search for HazelJS framework

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.

RAG (Retrieval-Augmented Generation) project initializer for Queen Claude ecosystem

Retrieval-Augmented Generation for nestjs-agent — chunking, ingestion, an embedding-backed Retriever, and in-memory + pgvector stores

AI-powered chat components for Vue.js with RAG (Retrieval-Augmented Generation) support

Domain-agnostic Retrieval-Augmented Generation (RAG) engine core library for JavaScript & TypeScript

Retrieval Augmented Generation for Cogitator AI agents

RAG (Retrieval-Augmented Generation) MCP Server with Supabase and Cohere integration

RAG (Retrieval Augmented Generation) library for MongoDB Vector Search

Lightweight, extensible Node.js library for evaluating Retrieval-Augmented Generation (RAG) systems

A lightweight CLI tool for testing RAG (Retrieval-Augmented Generation) systems with different embedding combinations

Server-side RAG (Retrieval-Augmented Generation) SDK

opendbpylot — natural-language → SQL via Retrieval-Augmented Generation (Node.js / NAPI bindings)

Scaffold a full-stack Next.js RAG (retrieval-augmented generation) chat app — create-next-app style, with workspaces, image retrieval and an admin panel, tailored to the AI providers and vector store you choose.

Retrieval-Augmented Generation toolkit with vector database integration, document embedding, and semantic search for AI-powered knowledge retrieval

Compose retrieval-augmented generation pipelines by connecting vector retrieval outputs to prompting.

RAG (Retrieval-Augmented Generation) utilities for Wundr platform - embeddings, chunking, and vector operations