Is RAG Dead? ๐ Standard RAG vs. GraphRAG & AI Agents || 30 days 30 AI concepts
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RAG Basics80%
Standard Vector RAG is fundamentally limited by Cosine Similarity. Itโs a point-search solution in a high-dimensional space. While excellent for Local Semantic Retrieval, it suffers from Global Context Collapse.
We deconstruct the shift from Stateless Pipelines to Stateful Agentic Architectures. We are moving beyond the "Librarian" model of simple fetching and into the "Detective" model of iterative reasoning.
#GraphRAG #AgenticAI #VectorDatabases #LLMOps #SystemDesign #MachineLearning #Python #Neo4j #LangGraph #StateMachines #RAGArchitecture #SoftwareEngineering
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