#Rag-chatbot
Showing 50 of 50 repositories tagged #rag-chatbot, ranked by stars
A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
Open-source, self-hosted alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase and N8N on a React frontend.
Cross-agent persistent memory for coding assistants. Stored compressed. Retrieved fast. Local by default.
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
A RAG pipeline implementation built on the 'Epstein Files 20K' dataset from Hugging Face (Teyler).
Agentic RAG for any scenario. Customize sources, depth, and width
Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.
Prototype SDK for RAG development.
Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP tools, 20 format parsers. Zero external servers, zero API keys.
Summon it with a keystroke, throw in anything you want to remember or ask your own memory. A local LLM agent that restructures your knowledge into a vectorized DB. fully private, zero cloud.
Open-source, fully private and local alternative to NotebookLM. Chat with your documents, generate audio summaries, and ground AI in your own sources—built with Supabase, N8N on a React frontend using Ollama for local inference
pdfLLM is a completely open source, proof of concept RAG app.
AnythingLLM Embed widget submodule for the main AnythingLLM application
CrawlAI RAG is an AI-powered website intelligence platform that allows users to crawl entire websites, index their content, and ask natural-language questions using Retrieval-Augmented Generation (RAG). It transforms static websites into queryable knowledge bases.
A Terminal User Interface for AI collaboration on code, using a Retrieval-Augmented Generation (RAG) pipeline designed specifically for Rust code generation and refactoring.
Template for AI chatbots & document management using Retrieval-Augmented Generation with vector search and FastAPI.
Handling 10M+ docs using RAG with zero hallucinatons
Django BM25 full-text search using PostgreSQL - a lightweight Elasticsearch alternative
Predictive memory layer for AI agents. MongoDB + Qdrant + Neo4j with multi-tier caching, custom schema support & GraphQL. 91% Stanford STARK accuracy, <100ms on-device retrieval
FinchBot is an AI Agent framework that empowers agents with true autonomy, built on LangChain v1.2 and LangGraph v1.0. With fully async architecture, agents gain the ability to self-decide, self-extend, and self-evolve
On premise enterprise-grade RAG-powered agentic workflow chatbot platform with multi-provider support
Build and deploy a full-stack RAG app on AWS with Terraform, using free tier Gemini Pro, real-time web search using Remote MCP server and Streamlit UI with token based authentication.
Multi-Agent Systems with Google's Agent Development Kit + A2A + MCP
Red Team AI Benchmark: Evaluating Uncensored LLMs for Offensive Security
ChatBot, show how to implement a RAG based on OceanBase or OceanBase seekdb AI capabilities escpecailly hybrid search and AI embedding.
Supacrawler's ultralight engine for scraping and crawling the web. Written in go for maximum performance and concurrency.
A complete Retrieval-Augmented Generation (RAG) application that demonstrates modern AI capabilities for answering questions about Ultimate Frisbee rules and strategies. This project showcases how to build a production-ready RAG system using cutting-edge technologies.
An open-source RAG platform to explore the unsealed Jeffrey Epstein court documents.
Agentic AI framework built using LangGraph and Multi-Agent Control Plane (MCP) for building structured, goal-driven multi-agent systems.
2026最新CTF知识库：12大Web漏洞深度文章+1156篇历年大赛WP+50+脚本+Payload速查 +AI/RAG离线在线知识库
x0-GPT is an advanced AI-powered tool that enables you to interact seamlessly with any website or document (including PDFs) using natural language. Whether you're looking to extract specific data, automate tasks, or gain insights, x0-GPT makes it possible with ease. Best of all, it's free and accessible to everyone.
A lightweight, high-performance AI/RAG workspace and autonomous agent framework implemented in Go. Inspired by the Leann RAG backend architecture
这是一个结合了RAG（Retrieval-Augmented Generation）和网络搜索功能的Agent项目，能够同时检索本地知识库和进行网络搜索，为用户提供全面的信息服务。项目通过API调用大语言模型进行推理，同时使用本地的bce-embedding-base_v1嵌入模型和Chroma向量数据库处理本地知识库检索，并采用ms-marco-MiniLM-L-6-v2交叉编码模型进行结果重排序。支持多角度查询和抽象查询等高级检索策略，提升检索准确性和回答质量。
Platypus is one app you need to organize your data. Note-taker, meeting transcriber and knowledge management, written in Rust. Easily add notes, transcribe meetings, cut and paste docs, and organize into projects with a single click. Then polish notes or query your knowledge with LLM of your choice. All data stays local, use your own LLM API.
A beautiful visual interface for Google's Gemini File Search API. Manage libraries, upload files, and chat with your documents — no code required.
Is a high-performance Augmented Recovery-Generation (RAG) solution based on Redis, Qdrant or PostgreSQL. It offers a high-level interface using FastAPI REST APIs
rudradb-opin-examples is for example implementations of the pip install rudradb-opin
A local-first RAG engine for web archival and semantic search. Crawl, embed, and query your own knowledge base entirely offline.
A Next.js template for technical docs with AI chat, out of the box.
Local-first RAG application for technical documentation and research papers
Dive is a secure, local-first desktop client for Ollama and Pi agentic AI. Features an ultra-compact offline RAG engine for indexing massive book libraries, MCP tool integration, sandboxed custom skills, PDF extraction, and macOS daemon support.
A sophisticated Retrieval-Augmented Generation (RAG) system that combines advanced document processing with intelligent retrieval mechanisms to deliver accurate, context-aware responses from multimodal data sources.
Hệ thống phân tích chứng khoán Việt Nam chuyên sâu sử dụng kiến trúc Multi-Agent RAG với CrewAI và Google Gemini.
A local and private rag guide with some examples, using PgSql, Ollama and Go
Chatnificent: LLM chat app framework – Minimally complete. Maximally hackable.
Redis Vector Library (RedisVL) -- the AI-native Java client for Redis.
GenAI 🧠 - 𝘸𝘰𝘳𝘬 𝘪𝘯 𝘱𝘳𝘰𝘨𝘳𝘦𝘴𝘴...
Web2LLM.txt – A fast, open-source website-to-LLM context file generator. Paste any https:// URL and instantly get a clean llm.txt file with token & cost estimation—ideal for RAG, prompt engineering, and AI training workflows.