The 5 Simple Steps to Create a Powerful AI-Driven Document Search Tool

Using semantic embedding, Pinecone and OpenAI API

Photo by Nik on Unsplash

Today, we will dive into the fascinating world of Semantic Embedding, Pinecone, and the OpenAI APIs. These innovative techniques are paving the way for a transformative shift in how we search and interact. By leveraging the power of semantic understanding, these methods allow us to grasp the meaning and context of text, enabling more accurate and precise document searches.

The simple diagram below will explain the approach we will use.

Image by Author

A quick caveat, I am not a developer; I do understand the concepts from their first principles, hence able to ask ChatGPT the right questions to create and debug the code.

1. Data Processing

You will need decent enough quality data to get started. Unsurprisingly, this is where I spent most of my time. I used a large PDF document with the first five chapters of Harry Potter and the Philosopher's Stone book and went through various iterations of chunking the document into paragraphs. To make the Embedding useful, you want to provide as…