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

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

Retrieval-Augmented Generation system for document indexing, search and retrieval

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

A TypeScript 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.

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

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

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

A RAG (Retrieval-Augmented Generation) package that integrates multiple data sources (CSV, Database, Pinecone, Elasticsearch) with Groq LLM for intelligent Q&A

RAG (Retrieval Augmented Generation) library for MongoDB Vector Search

Typed core for retrieval-augmented generation in TypeScript — ingestion and query pipelines over a swappable adapter contract.

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

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

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

MCP server providing semantic code search and API reference for the Immersive Web SDK using RAG (Retrieval-Augmented Generation) with vector embeddings

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

Définitions de types TypeScript et schémas de validation Zod pour l'écosystème RAG (Retrieval-Augmented Generation).

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