Part 3/11:
He introduces today’s tutorial as a hands-on guide to building a simple chatbot with long-term memory, setting the expectation for a practical, foundational project.
Creating a Simple Chatbot with Memory
The core of David’s project involves developing a chatbot that can remember past interactions and respond meaningfully. He demonstrates the existing setup: a basic conversational loop where the bot doesn't respond initially because the process is just starting.
Data Logging and Embeddings
The system logs every interaction, storing the user's message, timestamp, speaker identity, UUID, and an embedding vector generated via OpenAI’s latest model, text-embedding-ada-002. These embeddings convert text into numerical vectors, essential for semantic search and memory retrieval.