Evaluating Retrieval Augmented Generation pipeline performance
I wrote the RAG evaluation chapter for Pinecone's latest learn series: Vector Databases in Production for Busy Engineers.
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This post is part of a series
Vector Fundamentals✓ 01Introduction to embeddings (vectors) and how they work✓ 02Introduction to dimensionality in machine learning✓ 03Retrieval Augmented Generation (RAG)✓ 04How are embeddings models trained for RAG?✓ 05Tutorial: Build a RAG pipeline with LangChain, OpenAI and Pinecone
▸ 06Vector Databases in Production for Busy Engineers: RAG Evaluation
About the author
Zachary Proser
Applied AI at WorkOS. Formerly Pinecone, Cloudflare, Gruntwork. Full-stack — databases, backends, middleware, frontends — with a long streak of infrastructure-as-code and cloud systems.
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