Part 4/11:
- Databases: The decision heavily favors Azure Cosmos DB due to its NoSQL flexibility, global distribution, and high scalability. The platform supports multiple data models—document, key-value, graph—ideal for storing chat logs and user data.
He emphasizes the importance of a robust database design that can support high volumes of data, including semantic search with vector embeddings for billions of records—crucial for implementing a form of "super-powerful" memory akin to an Artificial General Intelligence (AGI) brain.
Data Storage, Retrieval, and Knowledge Graphs
Shapiro focuses heavily on how to structure and store chat logs:
- Fields: User identifiers, timestamps, message content, conversation IDs, and context.