How to Build a Smart Documentation - Based on OpenAI Embeddings (Chunking, Indexing, and Searching)

The main idea is to index documentation by splitting them into manageable chunks, generating embeddings with OpenAI, and performing a similarity search to find and return the most relevant information to a user's query.

Hey everyone! I wanted to share my approach to creating a “smart documentation” chatbot for a project I'm working on. I’m not an AI expert, so any suggestions or improvements are more than welcome!

The purpose of this post is not to create another tutorial on building a chatbot based on OpenAI. There's already plenty of content on that topic. Instead, the main idea is to index documentation by splitting them into manageable chunks, generating embeddings with OpenAI, and performing a similarity search to find and return the most relevant information to a user's query.

In my case, the documentation will be Markdown files, but ...