Multi Agent Research ππ¨βπ¦βπ¦ #467
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The token is out of limit π |
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This is great work Assaf. Thank you for always pushing the frontier on what's possible. I've been toying with this and am curious to ask a few things.
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@assafelovic Nice job! Have you considered making it capable of producing a detailed_report? Currently it only supports research_report. I find detailed_report superior in many cases. Also, it didn't respect all my guidelines. It produced a report with many subsections (as instructed by me), but they contained only placeholder text, without going into details. Example:
Output:
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Hey @pax-k it's supposed to be detailed reports by design! I'll take a look at this and why it didn't output as expected. It looks like it did not do an actual web search? Have you added a Tavily API key? Maybe I should it to installation instructions |
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This is one of the most exciting releases yet. Proud to introduce the latest GPTR x LangGraph integration showcasing the power of flow engineering and multi agent collaboration! Check out the full implementation in the new directory
multi_agents
.By using Langgraph, the research process can be significantly improved in depth and quality by leveraging multiple agents with specialized skills. Inspired by the recent STORM paper, this example showcases how a team of AI agents can work together to conduct research on a given topic, from planning to publication. An average run generates a 5-6 page research report in multiple formats such as PDF, Docx and Markdown.
The Multi Agent Team
The research team is made up of 7 AI agents:
Architecture
This discussion was created from the release Multi Agent Research ππ¨βπ¦βπ¦.
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