Se utiliza Ollama como servidor de llm Llama 3.1. Desde una interface web chat para realizar consultas.

This Docker Compose setup provides a complete interactive web chat interface for Ollama with Llama3 support.

A streamlit web app that lets us chat with ollama LLM (like llama3.1:8b) running locally

Simple chat application web app using Python, Flask, Ollama, and Docker. Utilizes the open source LLM llama3.1:8b.

A modern ChatGPT-style web interface powered by Ollama and open-source LLMs like llama3.2. Chat with AI offline, directly on your machine.

Streamlit web app that lets you chat with a locally running LLaMA3 model via Ollama. Works completely offline and shows conversation history with a built-in reset feature.

A simple local chat app using Flask and Ollama to run LLMs like llama3, command-r7b, and deepseek-r1. Switch models, chat in a web UI, and export history — all offline, no API keys needed.

EVA – Enhanced Virtual Assistant. A personalized local AI assistant using Python, LangChain, and Ollama with local LLMs (LLaMA3). EVA features PDF parsing with vector memory (ChromaDB), contextual chat, drag-and-drop GUI (TkinterDnD), secure web search integration, and dynamic response summarization—built fully offline for privacy and customization

A lightweight command-line AI agent that runs fully on your machine with Ollama (default: llama3.1:8b). It can chat, call safe local utilities (read/write files, search, hash, zip, convert units, math, fetch web pages, etc.), and keep short-term memory for notes/todos — all inside your project folder.

This is a full-stack web application that simulates a real-time AI Interview Chat using a local LLM model (like deepseek or llama3) powered by Ollama. The app mimics a WhatsApp-style interface where users upload their resume, select a job title, and provide a job description. The system then conducts a mock interview, asking relevant and contextual