What Comes After RAG? The Future of Knowledge Work with LLM Agents
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Published on ● Video Link: https://www.youtube.com/watch?v=xCj1uyD30SE
We're seeing a clear evolution: from DevOps to MLOps, and now toward automating complex, knowledge-intensive workflows using LLM-based agents. This shift started with tools like ChatGPT, which combined a language model and a simple UI. Then came RAG (retrieval-augmented generation), which introduced deeper challenges like memory, prompt tuning, and guardrails. While fully autonomous systems are a long-term goal, the near future lies in hybrid systems where humans and agents work collaboratively.
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