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You are here		blog.vespa.ai Pretrained Transformer Language Models for Search - part 1 \| Vespa Blog
\|	\|	zackproser.com How are embeddings models trained for RAG?	8.5 parsecs away Travel
\|	\|	Embeddings models are the secret sauce that makes RAG work. How are THEY made?	8.5 parsecs away Travel
\|	\|	unstructured.io Choosing the right embedding model for your RAG application: a comprehensive guide - Unstructured	6.6 parsecs away Travel
\|	\|	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.	6.6 parsecs away Travel
\|	\|	newsletter.vickiboykis.com How big are our embeddings now and why? ? Buttondown	10.2 parsecs away Travel
\|	\|	A few years ago, I wrote a paper on embeddings. At the time, I wrote that 200-300 dimension embeddings were fairly common in industry, and that adding more...	10.2 parsecs away Travel
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