This lesson explores building a personalized AI assistant using OpenAI and Pinecone, demonstrating how to leverage vector databases for efficient long-term memory and context retrieval to create highly personalized responses. Different tiers of personalization are implemented and compared, ranging from simple system prompts to advanced vectorstore-based methods, highlighting the trade-offs between complexity and performance.