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You are here		saeedesmaili.com Generating text embeddings locally using sentence-transformers \| Saeed Esmaili
\|	\|	blog.nomic.ai Nomic Blog	12.2 parsecs away Travel
\|	\|	Nomic releases a 8192 Sequence Length Text Embedder that outperforms OpenAI text-embedding-ada-002 and text-embedding-v3-small.	12.2 parsecs away Travel
\|	\|	michael-lewis.com Vector search and Retrieval Augmented Generation · Michael I Lewis	11.1 parsecs away Travel
\|	\|	An introduction to vector search (aka semantic search), and Retrieval Augmented Generation (RAG).	11.1 parsecs away Travel
\|	\|	unstructured.io Choosing the right embedding model for your RAG application: a comprehensive guide - Unstructured	12.7 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.	12.7 parsecs away Travel
\|	\|	qa.fastforwardlabs.com Evaluating QA: the Retriever & the Full QA System \| NLP for Question Answering	84.0 parsecs away Travel
\|		A review of Information Retrieval and the role it plays in an IR QA system	84.0 parsecs away Travel