Measure Retrieval Accuracy Using Athina IDE

While evaluating the accuracy of the Language Model (LLM) response is crucial, it is really important to measure the accuracy of the retrieval step separately.

This helps in identifying how effective the retrieval step is in providing relevant documents to the LLM for generating a response.

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What You Will Learn in this Guide

In this post, we’ll walk you through:

• Setting up a basic RAG application using Langchain and Chroma
• Loading a dataset into Athina
• Evaluating retrieval accuracy using various metrics
• Leveraging dynamic columns in Athina IDE
• Exploring further steps to enhance your RAG application

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Video: How to Measure Retrieval Accuracy in RAG Applications