GenieDock

GenieDock is a privacy-focused, all-in-one interface designed to help users interact seamlessly with their favorite LLMs locally. It supports both Ollama models and OpenRouter, offering a streamlined and customizable experience.

NEW - added support for Open Router! Some models are free! Requires API key!

The core idea is to provide an all-in-one solution that runs privately on your localhost.

The main focus is on being FREE, OPEN SOURCE, and PRIVATE.

Features

✅ Multiple Profiles – Create unique profiles for different household members.

✅ Stream Chat Interface with Markdown Support – Enjoy a modern, real-time chat experience like you would expect!

✅ Document-Based RAG – Upload documents to enhance retrieval-augmented generation (RAG) - feed your knowledge to the model.

✅ Model Management & Customization – Swap models,pull models, create you own by adjusting parameters like temperature or context size

✅ Chat Storage – Securely save conversations in a database and resume them anytime.

✅ Prompt Library – Store frequently used prompts for quick access.

✅ Personalized Settings – Define your name and default system prompts.

✅ Voice support – Tired of typing? Full voice support included!

✅ Light/Dark themes – Supports both light and dark theme to suit your style!

✅ Responsive Design – Use the app on all devices no matter the screen size!

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Architecture

GenieDock consists of several parts:

• App - A modern GUI interface built with Next.js.
• Database - PostgreSQL database with vector support to store all your data
• Ollama API - Ollama API to interact with local models

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Tech stack

Component	Technology
App	Next.js + TypeScript
Database	Drizzle ORM + PostgreSQL + PgVector
Styling	Tailwind CSS

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How to Use

To get started with development, follow these steps:

1. Prerequisites:

   • Ensure the Ollama API is installed.
   • Install Docker to set up the PostgreSQL database.
   • Dont forget to run Drizzle migrations via npx drizzle-kit migrate command too setup your DB tables

2. Configuration:

   • Create a .env file based on the provided env.example template and configure it with your settings.

3. Setup and Run:

   • Run npm install to install the required dependencies.
   • Start the application by running npm run dev.