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Remy - Remesh’s AI Agent

This article is relevant to our Live, Flex and Video Conversations. You can find more information about our product offerings here. 

Please note this feature is planned to be available in workspaces with Generative AI (LLM) capabilities enabled starting October 20th.

Overview

Remy is your AI Agent embedded directly into Remesh and designed to serve as a partner to researchers in their Remesh research journey. Unlike a standalone Large Language Model software, Remy is trained to understand how Remesh works which allows it to provide tailored responses to your specific research on Remesh.

In the coming months Remy will be your end-to-end AI agent for research embedded throughout the entire Remesh platform, from Build, to Live, to Analysis. Below, you can find the most up to date information about what capabilties Remy can currently support.

Getting Started

To utilize Remy, Generative AI (LLM) must be enabled for your Workspace and Team. Click “Chat with Remy” to access and begin working with Remy.

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Please note, in order to interact with Remy you will need to have Generative AI (LLM) features enabled for your Workspace and at least one team. To enable Generative AI (LLM) features in your workspace, please reference this article.

Data Analysis Capabilities

Ask natural-language questions about your Remesh data and receive concise, defensible answers with inline citations to the underlying evidence. No exports or complex prompting required. It works across Live, Flex, Video (transcripts), and Imported data.

More information about Remy’s data analysis capabilities can be found here.

Engaging with Remy

We recommend engaging with Remy as you would with a colleague who you are collaborating with in your research. Your tone can be conversational and does not need to include any complex prompting. In your thread with Remy, you can reference previous text in the thread like asking Remy to elaborate or returning to a topic earlier in the thread.

Additional Capabilities

We invite curiosity and exploration when engaging with Remy, but please note our team has only explored the use cases for Remy described above. Please note that prompts outside this scope may generate unexpected responses.