GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive knowledge graph wit a built in Graph RAG Agent. Perfect for code exploration

Client Code Examples, Use Cases and Benchmarks for Enterprise h2oGPTe RAG-Based GenAI Platform

A modular Python framework implementing the Model Context Protocol (MCP). It features a standardized client-server architecture over StdIO, integrating LLMs with external tools, real-time weather data fetching, and an advanced RAG (Retrieval-Augmented Generation) system.

GPU accelerated client-side embeddings for vector search, RAG etc.

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Ollama Client – Chat with Local LLMs Inside Your Browser A lightweight, privacy‑first Chrome extension to chat with local LLMs via Ollama, LM Studio, and llama.cpp. Supports streaming, stop/regenerate, RAG, and easy model switching — all without cloud APIs or data leaks.

A client program for vectorizing documents and performing similarity queries

Client-side retrieval firewall for RAG systems — blocks prompt injection and secret leaks, re-ranks stale or untrusted content, and keeps all data inside your environment.

AI-Rag-ChatBot is a complete project example with RAGChat and Next.js 14, using Upstash Vector Database, Upstash Qstash, Upstash Redis, Dynamic Webpage Folder, Middleware, Typescript, Vercel AI SDK for the Client side Hook, Lucide-React for Icon, Shadcn-UI, Next-UI Library Plugin to modify TailwindCSS and deploy on Vercel.

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Clientside lua files for Ragnarok Online client

MCP streamlit client with RAG support for tool search

js client for R2R: production-ready RAG engine with a sh*t ton of features.

Notebooks demonstrating vector search & RAG design patterns with Redis Python clients.

An Agentic RAG implementation using Langchain and a telegram client to send/receive messages from the chatbot

Intelligent context management for AI coding assistants. Indexes your codebase with tree-sitter, builds a semantic knowledge graph, and serves 12 tools over MCP. Hybrid RAG combines keyword search, vector embeddings, and graph traversal for precise retrieval. Works with Claude Desktop, Cursor, and any MCP client. Fully local with Ollama.

The free Python project to help you build your own RAG Chat Bot

A WhatsApp chatbot for real estate inquiries, built using Twilio API, Flask, and a BERT intent classifier. It uses LangChain and RAG for managing context and delivering accurate property information, automating client interactions while easing the workload for agents.

A serverless RAG QA bot for various clients

Self-hosted MCP server for semantic codebase search. RAG for any MCP client (Copilot, Claude, Cline) — zero cost, self-hosted.

GitNexus: The Zero-Server Code Intelligence Engine - GitNexus is a client-side knowledge graph creator that runs entirely in your browser. Drop in a GitHub repo or ZIP file, and get an interactive knowledge graph wit a built in Graph RAG Agent. Perfect for code exploration

FastMCP client agent with PostgreSQL and RAG MCP servers in dual mode: API/HTTP or local/stdio

Creating a RAG-powered assistant for CreditTrust Financial that examines client complaints across five financial services. The AI solution fetches relevant complaint records using semantic search and delivers practical insights, helping product teams detect patterns faster. Built with Python, LangChain, FAISS/ChromaDB, and Gradio/Streamlit.

MCP tool that enables natural language control of Unreal Engine 5.6+. Designed for large-scale projects with specialized Blueprint workflow support. Build node graphs, create GameplayAbilities, and automate editor tasks through MCP client. Includes RAG-powered Python scripting with Unreal Python API documentation.

This project implements an Agentic RAG (Retrieval Augmented Generation) Chatbot, initially accessible via a web interface. The bot's primary role is to serve as a genuine and professional company assistant, capable of engaging with clients, understanding their needs, and effectively guiding them towards purchasing our services and products.

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RageMP clientside definition files for Kotlin.

Context-bounded RAG backend built with FastAPI, FAISS, and SentenceTransformers. Designed for spoiler-safe, grounded AI reading assistants with multi-client support.

Haven is a privacy-first vector database and RAG platform for browsers. Full semantic search, embeddings, and LLM inference—all client-side.

Cathedral is a local-state client for cloud-hosted intelligence. Local, private AI client with memory, RAG, and contextual history all searchable and local. Includes web browsing, contextual menu items, and more.