The real potential of AI goes beyond basic chatbots powered by retrieval-augmented generation (RAG). It’s about creating autonomous agents capable of independently solving tasks — from simple interactions to complex workflows. To do this effectively, agents need more than static retrieval; they need a dynamic memory that continuously integrates user interactions, enterprise data, and external knowledge.
Current RAG approaches struggle when data is updated frequently, limiting their effective...
Read it: Graphiti: Knowledge Graph Memory for a Post-RAG Agentic World