Agent Knowledge Bases and Memory

Design persistent memory and knowledge systems for AI agents. Covers short-term and long-term memory, vector stores and embeddings, RAG architectures, knowledge base integration, and advanced retrieval strategies.

Intermediate4 Weeks5 LessonsNuniversity
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Course Content

  1. 01Foundations of Agent Memory
  2. 02Vector Stores, Embeddings and RAG Architecture
  3. 03Memory Stores, Summaries and Entity Extraction
  4. 04Knowledge Base Integration and Document Processing
  5. 05Advanced Retrieval Strategies

Lessons: 5 · 4 Weeks