RAG (Retrieval-Augmented Generation) Search is an Artificial Intelligence technique that combines the natural language capabilities of Large Language Models (LLMs) with the functionality of information retrieval systems, such as traditional search engines. The aim of such RAG models is to provide more accurate and factually supported answers to the questions of users.
However, the performance of these models is itself evaluated automatically using a separate LLM as obtaining human evaluations is often deemed too costly. This raises the issue of unwarranted trust in conversational AI and begs the question how a human's judgement would differ from that of the LLM. Exploring this question is precisely the goal of our research, for which we created this system to collect human evaluations of RAG Search responses.
This project was bootstrapped with Create React App. In the project directory, you can run:
Runs the app in the development mode.
Open http://localhost:3000 to view it in your browser.
The page will reload when you make changes.
You may also see any lint errors in the console.
Launches the test runner in the interactive watch mode.
See the section about running tests for more information.
Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.
The build is minified and the filenames include the hashes.
Your app is ready to be deployed!
See the section about deployment for more information.
Note: this is a one-way operation. Once you eject, you can't go back!
If you aren't satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.
Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you're on your own.
You don't have to ever use eject. The curated feature set is suitable for small and middle deployments, and you shouldn't feel obligated to use this feature. However we understand that this tool wouldn't be useful if you couldn't customize it when you are ready for it.
You can learn more in the Create React App documentation.
To learn React, check out the React documentation.
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