External Memory and RAG
AGAI 203 · Module 2
Learn how agents use external memory systems to retrieve facts, documents, and past knowledge. This module explains embeddings, vector databases, semantic search, and how to build a retrieval-augmented generation pipeline from scratch.
Lessons in this module
Embeddings and Vector Search
Understand how embeddings represent meaning numerically and how vector search retrieves semantically similar information for agents.
Building a Basic RAG Pipeline
Build a simple retrieval-augmented generation pipeline that chunks documents, embeds them, retrieves relevant context, and generates grounded answers.
Episodic and Semantic Memory Systems
Learn how to combine event records and knowledge retrieval to support agents that remember previous interactions and use durable domain knowledge.
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