Agentic AI: Solving Enterprise Intelligent Retrieval Challenges
Over the past few years, I've witnessed three generations of intelligent retrieval systems evolve. The first generation, RAG (Retrieval-Augmented Generation), improved upon vanilla retrieval by embedding user queries into a vector database and passing them to an LLM as context. However, this approach has limitations in enterprise settings where documents are often saturated with acronyms and…
Key points
- Hybrid retrieval combines vector search with keyword search for better accuracy
- Knowledge graphs enrich document chunks with structured domain information
- Agentic AI systems use dynamic reasoning to handle complex enterprise questions
The story so far
2 episodes →- Agentic AI: Solving Enterprise Intelligent Retrieval Challengesthis story
From RAG to Agentic AI: Building the Next Generation of Intelligent Enterprise Systems
KDnuggets · 8 September 2026
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