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You are here		blog.codefarm.me Dimensions and Embedding Models
\|	\|	unstructured.io Choosing the right embedding model for your RAG application: a comprehensive guide - Unstructured Navigate the Massive Text Embedding Benchmark (MTEB) leaderboard with confidence! Understand the difference between Bi-Encoders and Cross-Encoders, learn how text embedding models are pre-trained and benchmarked, and how to make the best choice for your specific use case.	2.6 parsecs Travel
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\|	\|	zackproser.com How are embeddings models trained for RAG? Embeddings models are the secret sauce that makes RAG work. How are THEY made?	4.3 parsecs Travel
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\|	\|	michael-lewis.com Vector search and Retrieval Augmented Generation · Michael I Lewis An introduction to vector search (aka semantic search), and Retrieval Augmented Generation (RAG).	4.4 parsecs Travel
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\|	\|	nlp.seas.harvard.edu The Annotated Transformer The Annotated Transformer	14.2 parsecs Travel
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