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.