From the course: Building AI That Remembers: Architecting Reliable, Context-Aware Enterprise Agents
Join today to access over 25,600 courses taught by industry experts.
Choosing the right memory store
From the course: Building AI That Remembers: Architecting Reliable, Context-Aware Enterprise Agents
Choosing the right memory store
In the previous video, we learned how grounding an agent in Big Star Collectible's enterprise data prevented those pesky hallucinations and guesswork. But for that data to become reliable memory, it needs a place to live. This one architectural decision determines whether your agent becomes a reliable part of your business or an inflexible prototype. A common mistake in AI pilots is to treat memory as an add-on in a separated, isolated silo. This just doesn't work. For Big Star, this creates lag in decision-making and data that falls out of sync. Agent memory, it really has to live alongside your enterprise data. Now, modern architectures, they integrate memory directly where the data already lives. The Oracle AI database, for example, shows us how this works. It allows unified search. So what it does is it combines vector search for unstructured text like a return policy PDF with traditional queries like a customer's refund history, all in one operation. Now, because the Oracle AI…
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.