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Case Study: How I created an AI Persona Bot

Case Study: How I created an AI Persona Bot

A case study where I created an AI persona bot with no-code tools. Used Flowise AI platform and trained the model with Abhinav’s YouTube videos.

Siddhant Gupta

Siddhant Gupta

Oct 25, 2023 4 min read

Introduction

One month and countless hours of dedication, trial, and error. That’s what it took for me, Siddhant, an Arts graduate, to craft an AI persona bot reflecting the distinct teaching style of my mentor and teacher, Abhinav, the founder of 10kdesigners. This case study is a firsthand account of the steps I took, challenges I faced, and the solutions I unearthed in this exhilarating journey.

Backstory

It all began with a spur-of-the-moment declaration. Right in front of my classmates and Abhinav, I committed to developing an AI persona bot that would teach design to novices, channeling Abhinav's unique pedagogy. This wasn’t just a whimsical proclamation; it was a self-imposed challenge with a clear deadline.

1. Unraveling the Bot Framework

To embark on this journey, I first needed to comprehend the bot's anatomy. Essentially, there are two critical segments:

Backend (The Brain): Here's where the logic, functionalities, and APIs reside. This is what makes the bot "think."

Frontend (The Face): This is what users see and interact with – the interface of the bot.

Backend and frontend of an AI Persona Bot. Flowise AI

Backend and frontend of an AI Persona Bot. Flowise AI

2. The Power of No-Code: My Introduction to Flowise AI

In the traditional tech landscape, building such a complex bot would have demanded intricate coding skills. But, with the emergence of no-code platforms, I stumbled upon Flowise AI. This tool was my gateway to Longchain, the framework that facilitates applications with AI models like ChatGPT, LAMA, and Claude, among others. With Flowise, I could visualize and harness the capabilities of Longchain without delving into intricate coding.

flowiseai.webp

3. Constructing the AI’s Knowledge Foundation

The key to capturing Abhinav's essence lay in data. I meticulously converted over 40 videos and live streams from his YouTube channel into text. Aggregating these, I crafted a singular, vast document that served as the foundational knowledge for the bot.

All the data used in creating the knowledge base for the AI persona bot.

All the data used in creating the knowledge base for the AI persona bot.

All the data used in creating the knowledge base for the AI persona bot.

All the data used in creating the knowledge base for the AI persona bot.

All the data used in creating the knowledge base for the AI persona bot.

All the data used in creating the knowledge base for the AI persona bot.

4. Making the Data Digestible for Chat GPT

Considering the constraints of Chat GPT regarding data input, I recognized that feeding it this massive document was unfeasible. This was where the Longchain framework came to the rescue. It segmented my colossal document into bite-sized chunks, retaining the necessary context through metadata. These manageable portions were then transformed into a vector database for the AI to efficiently traverse.

Basics on longchain framework

Basics on longchain framework

Basics on longchain framework

Basics on longchain framework

Basics on longchain framework

Basics on longchain framework

Basics on longchain framework

Basics on longchain framework

Basics on longchain framework

Basics on longchain framework

5. Navigating Flowise: From Idea to Execution

Harnessing Flowise AI, I began the bot's construction:

Conversation Retrieval QA Chain:

An essential system that scans the text file for relevant responses to user inquiries, providing answers via Chat GPT.

Basic overview of the backend of our AI persona Bot using Flowise ai

Basic overview of the backend of our AI persona Bot using Flowise ai

Document Loader:

The tool I employed to upload the comprehensive document.

Text Splitter:

Deployed to divide the overarching text into discernible sections.

Vector Embeddings:

Leveraging OpenAI embedding, I converted these sections into vector arrays, ensuring their accessibility for the AI.

Basic overview of the backend of our AI persona Bot using Flowise ai

Basic overview of the backend of our AI persona Bot using Flowise ai

With connections established between these components and the integration of the OpenAI API, my bot was finally ready for interaction.

where you have to put your open AI api key in flowise AI

where you have to put your open AI api key in flowise AI

Conclusion

This project was a blend of passion, commitment, and innovation. From an audacious promise to the successful creation of a cutting-edge AI persona bot, I realized the limitless potential of no-code platforms. My journey with Flowise AI not only birthed a chatbot but also redefined my understanding of what's possible in the realm of AI and design.

At last all I have to say is this. I know at first glance all of this might look very complicated and Intimidating. But if this Arts Guy with no coding knowledge could do it. Then so can you. Keep hustling, keep growing.