Tutorial: ChatGPT Over Your Data

The blog post provides a tutorial on setting up your own version of ChatGPT over a specific corpus of data, focusing on text data. It outlines two main components: ingestion of the data and querying of data. Ingestion involves loading data from various sources to text, chunking the loaded text into smaller pieces, creating numerical embeddings for each chunk, and storing these embeddings in a vectorstore. Querying involves combining chat history with new questions, looking up relevant documents using the embeddings and vectorstore, generating responses based on the standalone question and relevant documents, and deploying the chatbot through a simple interface or via Gradio. The tutorial encourages community involvement in improving data loading logic and providing example notebooks for various data sources.