Part 2/13:
Raven's core memory structure includes detailed chat logs that record each interaction, capturing the speaker, message, timestamp, and a UUID. These logs serve as the foundational dataset for the AI to recall past interactions. When recalling memories, Raven reconstitutes messages by assembling these components, sorting them chronologically, and processing them for relevance through vector embeddings.
The process involves loading stored JSON logs, sorting entries by timestamp, and extracting recent memories to inform current responses. This mechanism ensures Raven can refer back to previous conversations contextually, providing coherence over time.