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 saeedesmaili.com
Generating text embeddings locally using sentence-transformers | Saeed Esmaili
| | zackproser.com
How are embeddings models trained for RAG?
13.4 parsecs away

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| | Embeddings models are the secret sauce that makes RAG work. How are THEY made?
| | michael-lewis.com
Vector search and Retrieval Augmented Generation ยท Michael I Lewis
11.1 parsecs away

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| | An introduction to vector search (aka semantic search), and Retrieval Augmented Generation (RAG).
| | unstructured.io
Choosing the right embedding model for your RAG application: a comprehensive guide - Unstructured
12.7 parsecs away

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| | 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.
| | decoding.io
Bookmarked "When is the week end?" - Decoding
51.3 parsecs away

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