

Embedditor is an open-source MS Word equivalent for embedding that maximizes the effectiveness of vector searches. It offers a user-friendly interface for improving embedding metadata and tokens. With advanced NLP cleansing techniques, like TF-IDF normalization, users can enhance the efficiency and accuracy of their LLM-related applications. Embedditor also optimizes the relevance of content obtained from a vector database by intelligently splitting or merging the content based on its structure and adding void or hidden tokens. Furthermore, it provides secure data control by allowing local deployment on a PC or in a dedicated enterprise cloud or on-premises environment. By filtering out irrelevant tokens, users can save up to 40% on embedding and vector storage costs while achieving better search results.
24 May 2023
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The SearchUnify Intranet Search Extension is a browser extension powered by SearchUnify's cognitive search technology. It allows SearchUnify customers to easily access and find documents stored within their intranet directly from their browser. It's designed to be fast, neat, and constantly improving, helping to break down information silos and facilitate knowledge sharing.
03 Jul 2024
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