[D] A Practical Guide to RAG Pipeline Evaluation

**Retrieval-Augmented Generation, or RAG, has come a long way since the** **FAIR paper** **first introduced the concept in 2020.** Over the past year, RAG went from being perceived as a hack to now becoming the predominant approach to providing LLMs with relevant and up-to-date information. We have since seen a proliferation of RAG-based LLM applications built by startups, enterprises, big tech, consultants, vector DB providers, model builders and the list goes on.

**While it is extremely easy to spin up …

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