What Comes After RAG? The Future of Knowledge Work with LLM Agents @ai-science

Uploaded August 2025 | Updated September 2026, 2 weeks ago

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.

#LLMAgents #KnowledgeOps #MLOps #DevOps #FutureOfWork #RAG #AgenticAI #MultiAgentSystems #HumanInTheLoop #LLMWorkflowAutomation #AutonomousAgents #LLMProductDesign #ProcessAutomation #AIPlanning

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