Libraries tagged by word embeddings

This package allows reading and writing of OLE (Object Linking and Embedding) compound documents. This format is used as container for Excel (.xls), Word (.doc) and other Microsoft file formats.

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A PHP implementation of Word2Vec, a popular word embedding algorithm created by Tomas Mikolov and popularized by Radim Řehůřek & Peter Sojka with the Gensim Python library.

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This package allows you to enhance your Laravel applications by seamlessly integrating word embeddings.

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A forked version of the 'PHP implementation of Word2Vec, a popular word embedding algorithm created by Tomas Mikolov and popularized by Radim Řehůřek & Peter Sojka with the Gensim Python library'.

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AMT_Pinecone is a TYPO3 extension that integrates semantic search capabilities into your website using OpenAI embedding models and the Pinecone vector database. Semantic search focuses on understanding the meaning and context of search queries rather than relying on exact keyword matches. It enables more intuitive and relevant search results by analyzing the relationships between words and their meanings. This extension leverages advanced AI models to provide users with highly accurate and context-aware search experiences.

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Embedder enables embedding media in content fields area similar to how embeds work in WordPress

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