How does it compare with the built-in human-in-the-loop feature from langgraph? Or CrewAI allows humaninput as well right?
We have a number of production RAG datasets (human-verified) and have custom generated evaluation datasets for a variety of companies. Feel free to reach out if you are interested: yi@relari.ai
Very interesting comparison of RAG to traditional search development. I'm curious how large an evaluation dataset is usually necessary to compare results from different experiments of Google search?
How does it compare with the built-in human-in-the-loop feature from langgraph? Or CrewAI allows humaninput as well right?
We have a number of production RAG datasets (human-verified) and have custom generated evaluation datasets for a variety of companies. Feel free to reach out if you are interested: yi@relari.ai
Very interesting comparison of RAG to traditional search development. I'm curious how large an evaluation dataset is usually necessary to compare results from different experiments of Google search?