AI Agent Evaluation with RAGAS

RAGAS (RAG ASsessment) is an evaluation framework for RAG pipelines. Here, we see how to use RAGAS for evaluating an AI agent built using LangChain and using Anthropic's Claude 3, Cohere's embedding models, and the Pinecone vector database.

📌 Code:
https://github.com/pinecone-io/examples/blob/master/learn/generation/better-rag/03-ragas-evaluation.ipynb

📕 Article:
https://www.pinecone.io/learn/series/rag/ragas/

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https://www.pinecone.io/newsletter-signup/

👋🏼 AI Consulting:
https://aurelio.ai

👾 Discord:
https://discord.gg/c5QtDB9RAP

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00:00 RAG Evaluation
00:39 Overview of LangChain RAG Agent
03:04 RAGAS Code Prerequisites
03:40 Agent Output for …

agent anthropic article articles assessment claude claude 3 code cohere consulting database discord embedding embedding models evaluation framework langchain pinecone pipelines rag vector vector database videos