A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!

Simple Docker Compose to load gpt4all (Llama.cpp) as an API and chatbot-ui for the web interface. This mimics OpenAI's ChatGPT but as a local instance (offline).

A self-hosted, offline, ChatGPT-like chatbot that allows document uploads, powered by Llama 2, chromadb and Langchain. 100% private, with no data leaving your device. New: Support for Code Llama models.

The Medical Llama Chatbot is an AI-powered conversational agent providing medical information and guidance. Leveraging LLama 2 7B model in local system(offline), it offers an interactive user experience for health-related queries.

Offline AI chatbot using LLaMA 2 Uncensored, Gradio UI, and Ollama for local execution.

using LLAMA 3.1 model , this is an LLM based offline chatbot for general purposes only

Offline voice + text chatbot running on local Llama model — zero API costs, full privacy. Streamlit UI with speech input and text conversation. Runs 100% on your machine.

This project is an offline standalone chatbot built with the Llama model and Flask. The chatbot, named Raahi, is designed to provide interactive conversations without requiring an internet connection. It uses the Llama3 model, part of LangChain's Ollama, for generating responses based on user input

A simple offline chatbot built using Llama 3.2:1B model with Ollama.

An offline, locally-hosted chatbot built in C++ with llama.cpp

A self-hosted, offline, ChatGPT-like chatbot. Powered by Llama 2. 100% private, with no data leaving your device. New: Code Llama support!

A local AI chatbot built using Ollama (LLaMA 2) and Streamlit. Runs fully offline with no API key required.

Local AI chatbot (Ollama + Zephyr/Mistral/LLaMA 2) com memória persistente, múltiplos estilos de resposta, interface Gradio e 100% offline.

Fully local RAG chatbot that answers questions about restaurant reviews using LangChain, ChromaDB, and Llama 3.1 — no API keys, runs 100% offline.

⚡ Offline AI chatbot for ecommerce — built with LangChain, LLaMA 3 (Ollama), and Flask. Supports smart Q&A and RAG-style contextual answers.

Local RAG-based chatbot using LLaMA via Ollama, LangChain, and FAISS to answer queries over custom documents or codebases fully offline, no API keys required.

A local AI chatbot powered by Mixtral or LLaMA with smart memory, user profiles, and offline chat summaries. Fully private and customizable — like ChatGPT, but personal.

A lightweight local chatbot built with llama.cpp and Gradio. Supports TinyLlama, Mistral, and DeepSeek-Qwen models that can be switched during chat with full offline inference and chat history management.

AI Research Paper Assistant: An offline-capable RAG-powered chatbot for secure, efficient summarization and Q&A on academic papers. Leverages FAISS, Llama 3.2, and prompt engineering to deliver context-aware insights while preserving data privacy.

A privacy-focused, NLP-based medical chatbot built with Streamlit, LangChain, FAISS, HuggingFace embeddings, and Ollama’s LLaMA model. Uses a local RAG pipeline to extract structured disease insights like symptoms, treatments, and mental health impact all fully offline.

Built an AI-powered IT support chatbot using Python, PySide6, and LLaMA 3.2 via Ollama. Runs completely offline with no internet required. Covers password resets, hardware, software, and network issues with smart filters to keep conversations on topic.

ServeGPT is an innovative LLM-based chatbot built using LangChain, Python, Vite, and ReactJS. This project integrates multiple AI models, including online APIs (Gemini and ChatGPT) and offline models (Qwen and Meta-Llama), to provide a versatile and responsive conversational experience.

A lightweight Python interface that connects to LM Studio to enable natural language conversations with locally-hosted Large Language Models (LLMs). The project allows users to run AI chatbots completely offline using open-source models like Llama, Mistral, and Qwen on their personal computers.

Offline RAG chatbot for the 2018 International Residential Code. Cleans/OCRs PDF, chunks text, embeds with MiniLM / GTE / E5 into ChromaDB, two‑stage retrieval, local Llama‑3 answers with cited clauses. Gradio UI; swap in any PDF, all models run locally for private, reliable Q&A.

Egyptian AI Assistant is a lightweight local chatbot that runs fully offline using llama-server and a GGUF model. It includes a modern Next.js chat UI, a FastAPI backend, and Docker support. The backend enforces Egyptian Arabic responses, The backend enforces Egyptian Arabic responses with optional voice endpoints that can be enabled when needed.

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Offline ChatGPT-style chatbot using LLaMA 3

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