Utilizing User Feedback

User feedback can often be noisy and challenging to harness effectively. However, within the feedback, valuable signals exist that can be leveraged to iteratively enhance your LLM and RAG applications. These signals have the potential to be amplified effectively, aiding in the detection of specific issues within the pipeline and preventing recurring errors. Ragas is equipped to assist you in the analysis of user feedback data, enabling the discovery of patterns and making it a valuable resource for continual improvement.

Talk to founders to add this to your LLM app building cycle.