How AI Agents Learn Your Business: Semantic Memory Explained

Описание: How do AI agents go from forgetting everything to becoming domain experts? The answer is semantic memory - the permanent knowledge base that transforms generic AI into trusted colleagues who truly understand YOUR business.

In this video, we explore:

What semantic memory is and why it's essential
The critical difference between model knowledge and semantic memory
How facts get "promoted" from working memory to permanent storage
What belongs (and doesn't belong) in semantic memory
How semantic search actually works with embeddings, vectors, and knowledge graphs
The transformation from Day 1 uncertainty to Day 100 expertise

This is Part 2 of our Agent Memory series. If you missed the other parts you can check them out here:
Part 1: Agent Memory Introduction:    • From Goldfish to Genius: How Memory Transf...  
Part 2: Working Memory:    • Working Memory: Because agents can't just ...  

Whether you're building AI agents or just curious about how they learn and remember, this video breaks down the concepts in a way anyone can understand.

🧠 Key Takeaway: Semantic memory bridges the gap between generic AI knowledge and the specific expertise your agents need to be truly useful.

Part 4 on episodic memory is coming soon, so be sure to subscribe.