Sentence Transformers for semantic search - Hugging Face huggingface.co › embeddings-semantic-search
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In this section we'll use embeddings to develop a semantic search engine. These search engines offer several advantages over conventional approaches that are ... |
23 авг. 2024 г. · Hugging Face offers a free Serverless Inference API to provide on-demand predictions from over 100,000 models deployed on the Hugging Face Hub. |
This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and was designed for semantic search. |
15 нояб. 2023 г. · What are relevant criteria in picking a model for semantic search? I'm seeing a lot of development in LLMs but not sure how relevant those ... |
Use Hugging Face to create embeddings and run semantic search using dot product in SingleStoreDB. |
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