Objective: Learn how agents store and retrieve information to make informed decisions.
Topics Covered:
Vector stores and embeddings for memory.
Retrieval-Augmented Generation (RAG).
Multi-step planning and decision-making processes.
Using external tools and APIs effectively.
Hands-on Activity: Implement a memory module for an agent and query it with sample tasks.