280+ free n8n automation templates — ready-to-use workflows for Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, OpenAI, and more. AI agents, RAG chatbots, email automation, social media, DevOps, and document processing. The largest open-source n8n template collection.

Retrieval Augmented Generation (RAG) chatbot powered by Weaviate

A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM

100 % FREE, Private (No Internet) DeepSeek’s Advanced RAG: Boost Your RAG Chatbot: Hybrid Retrieval (BM25 + FAISS) + Neural Reranking + HyDe🚀

A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS

Flock is a workflow-based low-code platform for rapidly building chatbots, RAG, and coordinating multi-agent teams, powered by LangGraph, Langchain, FastAPI, and NextJS.（Flock 是一个基于workflow工作流的低代码平台，用于快速构建聊天机器人、RAG、Agent和Muti-Agent应用，采用 LangGraph、Langchain、FastAPI 和 NextJS 构建。）

Chat with multiple PDFs locally

This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.

🔥 Instantly create AI chatbots for any website with RAG-powered search, streaming responses, and OpenAI-compatible API endpoints

This repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.)

RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.

Your Trusty Memory-enabled AI Companion - Simple RAG chatbot optimized for local LLMs | 12 Languages Supported | OpenAI API Compatible

Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Agentic RAG from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophisticated AI-driven applications.

Connect to your customer data using any LLM and gain actionable insights. IdentityRAG creates a single comprehensive customer 360 view (golden record) by unifying, consolidating, disambiguating and deduplicating data across multiple sources through identity resolution.

RAG Chatbot with Confluence

An LLM Chatbot that dynamically retrieves and processes resumes using RAG to perform resume screening.

Gita GPT A personal productivity assistant (RAG), a platform of AI chatbots, Ask Krishna GPT that uses Bhagavad Gita references to answer your questions.

RAG enabled Chatbots using LangChain and Databutton

Building a chatbot powered with a RAG pipeline to read,summarize and quote the most relevant papers related to the user query.

A fully custom chatbot built with Agentic RAG (Retrieval-Augmented Generation), combining Gemini models with a local knowledge base for accurate, context-aware, and explainable responses. Features a lightweight, dependency-free frontend and a streamlined FastAPI backend for complete control and simplicity.

Ready-to-use AI Multimodal ChatGPT-based WhatsApp chatbot assistant for your business. Now supports GPT-4o with text + audio + image input, audio responses, and improved RAG + MCP 🤩

A multi-pdf chatbot based on RAG architecture, allows users to upload multiple pdfs and ask questions from them.

Lightweight, simple embedded Open WebUI widget, allowing you to easily implement chatbot capabilities and RAG workflows into your existing tools, apps and webpages!

NTTU Chatbot - A student support chatbot using LLM + Document Retriever (RAG) in Vietnamese

This repository contains implementations of Retrieval-Augmented Generation (RAG) in Jupyter notebooks. It includes examples of building chatbots with and without history, processing PDFs with RAG, and using DeepSeek models for local RAG and financial document analysis.

A Retrieval Augmented Generation (RAG) chatbot implementation with FastAPI, Redis and OpenAI's GPT-4o. The chatbot answers questions about new technology trends.

MIT-licensed Framework for LLMs, RAGs, Chatbots testing. Configurable via YAML and integrable into CI pipelines for automated testing.

A local LLM chatbot with RAG for PDF input files

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Comprehensive tools for building (Retrieval Augmented Generation) RAG chatbots.