langchain/docs/use_cases
mbchang 3b7d27d39e
new example: multiagent dialogue with decentralized speaker selection (#3629)
This notebook showcases how to implement a multi-agent simulation
without a fixed schedule for who speaks when. Instead the agents decide
for themselves who speaks. We can implement this by having each agent
bid to speak. Whichever agent's bid is the highest gets to speak.

We will show how to do this in the example below that showcases a
fictitious presidential debate.
2023-04-26 21:37:36 -07:00
..
agent_simulations new example: multiagent dialogue with decentralized speaker selection (#3629) 2023-04-26 21:37:36 -07:00
agents Harrison/plugnplai (#3573) 2023-04-26 08:09:34 -07:00
autonomous_agents Align names of search tools (#3620) 2023-04-26 16:21:34 -07:00
chatbots Harrison/voice assistant (#3347) 2023-04-22 08:25:50 -07:00
code Deep Lake mini upgrades (#3375) 2023-04-23 21:23:54 -07:00
evaluation Add ReAct eval chain (#3161) 2023-04-25 21:22:25 -07:00
question_answering Deep Lake mini upgrades (#3375) 2023-04-23 21:23:54 -07:00
agent_simulations.md new example: multiagent dialogue with decentralized speaker selection (#3629) 2023-04-26 21:37:36 -07:00
apis.md Update apis.md (#2278) 2023-04-01 12:48:16 -07:00
autonomous_agents.md add meta-prompt to autonomous agents use cases (#3254) 2023-04-24 10:48:38 -07:00
chatbots.md Harrison/voice assistant (#3347) 2023-04-22 08:25:50 -07:00
code.md bump ver to 140 (#2895) 2023-04-15 09:23:19 -07:00
evaluation.rst [Docs] minor fixes to loaders links and rst warnings (#2846) 2023-04-13 10:54:40 -07:00
extraction.md fix doc tags (#2019) 2023-03-26 21:43:51 -07:00
personal_assistants.md Harrison/plugnplai (#3573) 2023-04-26 08:09:34 -07:00
question_answering.md Harrison/qa eg (#3052) 2023-04-17 20:56:42 -07:00
summarization.md fix doc tags (#2019) 2023-03-26 21:43:51 -07:00
tabular.md fix doc tags (#2019) 2023-03-26 21:43:51 -07:00