Custom n8n nodes for Google Vertex AI RAG (Retrieval Augmented Generation) with separated credentials for embedding and vector search

A TypeScript/JavaScript module for implementing Retrieval-Augmented Generation (RAG) using Qdrant vector database, Google's Generative AI embeddings, and Groq LLM.

RAG (Retrieval-Augmented Generation) library for NestJS with vector database integration

A RAG (Retrieval-Augmented Generation) library for document analysis and processing

Advanced RAG (Retrieval-Augmented Generation) knowledge base nodes for n8n

Terminal tool to enable Retrieval-Augmented Generation (RAG) with Superexpert AI.

Production-ready RAG (Retrieval-Augmented Generation) for JavaScript & React - Built on official Ollama & LM Studio SDKs with Hybrid Search, Reranking, Query Transformation, Caching, Conversation Management & Evaluation

A Retrieval-Augmented Generation MCP server for Motoko code search and code generation

Batteries-included Retrieval-Augmented Generation for molecule.dev — composes @molecule/api-semantic-search (retrieval) with the bonded @molecule/api-ai chat provider (generation) to answer questions grounded in your own documents

Tutti voice — retrieval-augmented generation: ingest, search, and manage a knowledge base

MCP server for Agentset, an open-source platform for Retrieval-Augmented Generation (RAG). Designed for developers who want to build intelligent, document-based applications quickly and efficiently.

Terminal-based AI agent for codebase RAG (Retrieval-Augmented Generation)

Retrieval Augmented Generation (RAG) support for NestJS AI

HTML optimization tool for RAG (Retrieval-Augmented Generation) systems

Core RAG (Retrieval-Augmented Generation) logic for MCP

In-memory Vector DB adapter for AskChokro RAG (Retrieval-Augmented Generation)

A complete Retrieval-Augmented Generation system using pgvector, LangChain, and LangGraph for Node.js applications with dynamic embedding and model providers, structured data queries, and chat history - supports OpenAI, Anthropic, HuggingFace, Azure, Goog

RAG (Retrieval-Augmented Generation) system template - DCYFR AI starter

The TypeScript Code Extractor and Analyzer can be handy for RAG (Retrieval-Augmented Generation) systems for codebases. It provides a detailed and structured representation of the codebase that can be converted into embeddings, enabling more effective adv

Retrieval-Augmented Generation for the Zouroboros ecosystem — swarm, vault, autoloop, eval, and persona context injection