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I think what you're looking for is possible with LLM agents. For paperai (mentioned previously) at least, it's possible to build workflows that connect multiple

I think what you're looking for is possible with LLM agents. For paperai (mentioned previously) at least, it's possible to build workflows that connect multiple prompt steps together. txtai (included with paperai) has the ability to build semantic graphs (https://neuml.hashnode.dev/introducing-the-semantic-graph https://neuml.hashnode.dev/introducing-the-semantic-graph). I agree that RAG is just one part of the equation. But the tools are available if one wanted to build their own complex multi-agent workflow.

alchemist1e9 3y ago
In the example of the RA being automated by an LLM workflow by agents, I agree it’s very possible and it requires defining a set of specific agents, using prompts and allow function calling for tools, and then defining a full workflow between the agents. The workflow can likely be modeled by breaking down the individual steps the RA takes when doing their work. The agents are likely very narrow and specific, they do one very very specific task. Then the workflow is a DAG chaining their work together.