Agentic Search: Why Vector Databases Aren’t Enough for AI Agents скачать в хорошем качестве

Agentic Search: Why Vector Databases Aren’t Enough for AI Agents

In this episode, we explore why traditional approaches to building enterprise AI agents—starting with vector databases—are fundamentally flawed when it comes to scale, maintenance, and security. 💡 What if your AI agents could access real-time knowledge directly from the systems you already use—without moving data or managing embeddings? We break down: Why vector databases work for prototypes, but break in production The difference between retrieval and orchestration How agentic search redefines what’s possible with enterprise AI Why federated, secure access is the future of intelligent systems Whether you’re building your first AI pilot or scaling to production, this episode will help you rethink your strategy—and avoid the baggage. 🔔 Subscribe for more on AI search, orchestration, and enterprise data intelligence. #AgenticSearch #EnterpriseAI #AIagents #VectorDatabases #FederatedSearch #AIpodcast #SWIRL