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docs: complete readme

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- # Build a Natural Language SQL Chatbot with GPT-4
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  Welcome to the GitHub repository for our tutorial on building a natural language SQL chatbot using GPT-4! This project guides you through the development of a chatbot that can interpret natural language queries, generate SQL queries, and fetch results from a SQL database, all in an intuitive and user-friendly way. It utilizes the power of OpenAI's GPT-4 model, integrated with a Streamlit GUI for an enhanced interaction experience.
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  The chatbot works by taking a user's natural language query, converting it into a SQL query using GPT-4, executing the query on a SQL database, and then presenting the results back to the user in natural language. This process involves several steps of data processing and interaction with the OpenAI API and a SQL database, all seamlessly integrated into a Streamlit application.
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- For a more detailed explanation and a step-by-step guide, refer to the [YouTube video tutorial](https://youtu.be/link-to-your-video).
 
 
 
 
 
 
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  ## Installation
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  Ensure you have Python installed on your machine. Then clone this repository:
 
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+ # Build a Natural Language SQL Chatbot with GPT-4 and Mistral AI
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  Welcome to the GitHub repository for our tutorial on building a natural language SQL chatbot using GPT-4! This project guides you through the development of a chatbot that can interpret natural language queries, generate SQL queries, and fetch results from a SQL database, all in an intuitive and user-friendly way. It utilizes the power of OpenAI's GPT-4 model, integrated with a Streamlit GUI for an enhanced interaction experience.
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  The chatbot works by taking a user's natural language query, converting it into a SQL query using GPT-4, executing the query on a SQL database, and then presenting the results back to the user in natural language. This process involves several steps of data processing and interaction with the OpenAI API and a SQL database, all seamlessly integrated into a Streamlit application.
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+ Consider the following diagram to understand how the different chains and components are built:
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+ ![Chatbot Architecture](./docs/mysql-chains.png)
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+ For a more detailed explanation and a step-by-step guide, refer this other video: [YouTube video tutorial](https://youtu.be/9ccl1_Wu24Q).
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+ For a more detailed explanation and a step-by-step guide, refer to the [YouTube video tutorial](Chat with MySQL Database with Python | LangChain Tutorial).
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  ## Installation
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  Ensure you have Python installed on your machine. Then clone this repository: