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+# Perplexity Inspired LLM Answer Engine
+
+This repository contains the code and instructions needed to build a sophisticated answer engine that leverages the capabilities of Groq, Mixtral, Langchain.JS, Brave Search, and OpenAI. Designed to efficiently return sources, answers, and follow-up questions based on user queries, this project is an ideal starting point for developers interested in natural language processing and search technologies.
+
+## Technologies Used
+
+- **Express.js**: A web application framework for Node.js, used to create server-side applications.
+- **Body-Parser**: A middleware for Express.js, it's used to parse incoming request bodies before your handlers.
+- **Groq & Mixtral**: Technologies for processing and understanding user queries.
+- **Langchain.JS**: A JavaScript library focused on text operations, such as text splitting and embeddings.
+- **Brave Search**: A privacy-focused search engine used for sourcing relevant content.
+- **OpenAI**: Leveraged for generating coherent and contextually relevant answers and follow-up questions.
+- **Cheerio**: Utilized for HTML parsing, allowing the extraction of content from web pages.
+
+## Getting Started
+
+### Prerequisites
+
+- Ensure Node.js and npm are installed on your machine.
+- Obtain API keys from Groq, OpenAI, and Brave Search.
+
+### Obtaining API Keys
+
+- **Groq API Key**: [Get your Groq API key here](https://console.groq.com/playground).
+- **OpenAI API Key**: [Generate your OpenAI API key here](https://platform.openai.com/api-keys).
+- **Brave Search API Key**: [Obtain your Brave Search API key here](https://api.search.brave.com/app/dashboard).
+
+### Installation
+
+1. Clone the repository:
+    ```git clone <repository-link>```
+2. Install the required dependencies:
+    ```npm install```
+    or 
+     ```bun install```
+3. Create a `.env` file in the root of your project and add your API keys:
+    ```GROQ_API_KEY=<your_groq_api_key>
+    BRAVE_SEARCH_API_KEY=<your_brave_search_api_key>
+    OPENAI_API_KEY=<your_openai_api_key>```
+
+### Running the Server
+
+To start the server, execute:
+```npm start```
+The server will be listening on port 3005.
+
+## Usage
+
+Make a POST request to `localhost:3005` with a JSON body containing your query and the desired parameters:
+
+```{
+  "message": "Your question here",
+  "returnSources": true,
+  "returnFollowUpQuestions": true,
+  "embedSourcesInLLMResponse": false,
+  "textChunkSize": 800,
+  "textChunkOverlap": 200,
+  "numberOfSimilarityResults": 2,
+  "numberOfPagesToScan": 4
+}```
+
+The engine will process your query and return a comprehensive answer along with sources and, if requested, follow-up questions.
+
+## YouTube Tutorial
+
+![Build a Perplexity-Inspired Answer Engine Using Groq, Mixtral, Langchain, Brave & OpenAI in 10 Min](https://img.youtube.com/vi/43ZCeBTcsS8/0.jpg)
+
+[Watch the tutorial here](https://youtu.be/43ZCeBTcsS8) for a detailed guide on setting up and running this project. The video covers every step of the process, from API key acquisition to server deployment.
+
+## Contributing
+
+Contributions to the project are welcome. Feel free to fork the repository, make your changes, and submit a pull request. You can also open issues to suggest improvements or report bugs.
+
+## License
+
+This project is licensed under the MIT License - see the LICENSE file for more details.
+
+I'm the developer behind Developers Digest. If you find my work helpful or enjoy what I do, consider supporting me. Here are a few ways you can do that:
+
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