Welcome to the Workshop on Prompt Engineering, Langchain Basics, and Web Integration with Node.js! In this workshop, we will explore the concepts of prompt engineering, learn about the basics of Langchain, and understand how to integrate it into web applications using Node.js.

In this workshop, we will cover the following topics:

1. Prompt Engineering: Understanding the importance of prompt engineering in natural language processing tasks and how it can improve model performance.
2. Langchain Basics: Exploring the fundamentals of Langchain, including its architecture, key components, and its role in language processing.
3. Web Integration with Node.js: Learning how to integrate Langchain into web applications using Node.js, allowing for real-time language processing on the web.
4. Hands-on Exercises: Engaging in practical exercises to apply the concepts learned throughout the workshop.
5. Q&A and Discussion: Providing an opportunity for participants to ask questions and engage in discussions.

To make the most out of this workshop, participants should have a basic understanding of programming concepts and familiarity with JavaScript and Node.js. Additionally, having a basic understanding of natural language processing (NLP) concepts would be beneficial.

To get started with the workshop, follow these steps:

1. Clone this repository to your local machine.
2. Install the required dependencies by running the following command:

   npm install
   

3. Open the workshop materials and exercises in your preferred code editor.
4. Follow the instructions provided in each exercise to complete the tasks.

Throughout the workshop, we will refer to the following resources:

• Langchain Documentation: Official documentation for Langchain.
• Node.js Documentation: Official documentation for Node.js.
• OPEN AI: Documentation for Open AI and developer keys

If you have any suggestions, improvements, or bug fixes for this workshop, feel free to submit a pull request or open an issue in this repository.

This workshop is licensed under the MIT License.