# llmchat

**Repository Path**: bcledger_admin/llmchat

## Basic Information

- **Project Name**: llmchat
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: attachment-support
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2025-02-06
- **Last Updated**: 2025-02-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


![og_6x](https://github.com/user-attachments/assets/4813a6b5-3294-4056-88bb-c536a45c220c)

[demo.webm](https://github.com/user-attachments/assets/1c555c20-5adf-4c7b-8e55-96f5abcc3563)


<h1 align="center">LLMChat</h1>
<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**
- 🧩 **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

1. Clone the repository:
   ```bash
   git clone https://github.com/your-repo/llmchat.git
   cd llmchat
   ```

2. Install dependencies:
   ```bash
   yarn install
   # or
   bun install
   ```

3. Start the development server:
   ```bash
   yarn dev
   # or
   bun dev
   ```

4. Open your browser and navigate to `http://localhost:3000`.

## Deployment

Instructions for deploying the project will be added soon.