Awesome

<div style="margin: 10px;"> <img width="1500" alt="Screenshot 2024-09-25 at 8 52 53 AM" src="https://github.com/user-attachments/assets/d558b8f2-37ea-4a6d-b6ec-969d56cad103"> </div><br> <p align="center"> <img width="160" alt="LLMChat logo" src="https://github.com/user-attachments/assets/ea0535c8-37ee-4d5f-8db2-e15d5bc1decb"> </p> <p align="center">Most intuitive All-in-one AI chat interface.</p>

Key Features

🧠 Multiple LLM Providers: Supports various language models, including Ollama.
🔌 Plugins Library: Enhance functionality with an expandable plugin system, including function calling capabilities.
🌐 Web Search Plugin: Allows AI to fetch and utilize real-time web data.
🤖 Custom Assistants: Create and tailor AI assistants for specific tasks or domains.
🗣️ Text-to-Speech: Converts AI-generated text responses to speech using Whisper.
🎙️ Speech-to-Text: (Coming soon) Enables voice input for more natural interaction.
💾 Local Storage: Securely store data locally using in-browser IndexedDB for faster access and privacy.
📤📥 Data Portability: Easily import or export chat data for backup and migration.
📚 Knowledge Spaces: (Coming soon) Build custom knowledge bases for specialized topics.
📝 Prompt Library: Use pre-defined prompts to guide AI conversations efficiently.
👤 Personalization: Memory plugin ensures more contextual and personalized responses.
📱 Progressive Web App (PWA): Installable on various devices for a native-like app experience.

Tech Stack

🌍 Next.js
🔤 TypeScript
🗂️ Pglite
🧩 LangChain
📦 Zustand
🔄 React Query
🗄️ Supabase
🎨 Tailwind CSS
✨ Framer Motion
🖌️ Shadcn
📝 Tiptap

Roadmap

🎙️ Speech-to-Text: Coming soon.
📚 Knowledge Spaces: Coming soon.

Quick Start

To get the project running locally:

Prerequisites

Ensure you have yarn or bun installed.

Installation

Clone the repository:

git clone https://github.com/your-repo/llmchat.git
cd llmchat

Install dependencies:
```
yarn install
# or
bun install
```
Start the development server:
```
yarn dev
# or
bun dev
```
Open your browser and navigate to http://localhost:3000.

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Deployment

Instructions for deploying the project will be added soon.