# Embedchain Chainlit RAG

Welcome to the Embedchain Chainlit RAG repository!

## Overview

This repository contains the code for the Embedchain Chainlit RAG project. Embedchain is an Open Source Framework for personalizing LLM responses¹. It makes it easy to create and deploy personalized AI apps¹.

## Installation

To install the necessary dependencies, you can use the following command:

```bash
pip install embedchain chainlit gpt4all

Usage

You can use the Embedchain framework to create personalized LLM applications. It offers a seamless process for managing various types of unstructured data¹. For example, you can create an Elon Musk bot using the following code:

import os
from embedchain import App

# Create a bot instance
os.environ["OPENAI_API_KEY"] = "<YOUR_API_KEY>"
app = App()

# Embed Local  & Web resources
app.add("https://en.wikipedia.org/wiki/Elon_Musk")
app.add("path/path", data_type="directory")

# Query the app
app.query("How many companies does Elon Musk run and name those?")

Contributing

Contributions are welcome! Please check out the issues on the repository, and feel free to open a pull request.

License

This project is licensed under the Apache-2.0 License.

Please replace `<YOUR_API_KEY>` with your actual API key. Also, remember to customize this template according to your project's specific needs. Let me know if you need help with anything else!