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Vector Databases: Pinecone, Weaviate & pgvector · Lesson

Agentic Retrieval & Memory

Explore how AI agents use vector databases as long-term memory and perform iterative, tool-driven retrieval.

From Search to Agents

Beyond one-shot RAG, AI agents use vector databases as a persistent memory and as a tool they can query repeatedly while reasoning.

Agent Memory Types

Agents juggle several memory kinds:

  • Short-term: current conversation
  • Long-term: facts stored as vectors
  • Episodic: past interactions and outcomes

All lessons in this course

  1. Hybrid Search: Vector + Keyword
  2. Multi-Modal Embeddings
  3. Emerging Vector DB Technologies
  4. Agentic Retrieval & Memory
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