Embedditor is an open-source embedding tool that helps you maximize your performance in vector search. It improves embedding metadata and embedding tokens through a user-friendly interface. Seamlessly apply advanced NLP cleaning techniques like TF-IDF, normalization, and enrich your embedding tokens, boosting efficiency and accuracy in LLM-related applications. It also allows for intelligent content splitting or merging, adding blank or hidden tokens based on its structure to enhance semantic consistency and optimize the relevance of retrieved content from vector databases. You have complete control over your data, allowing you to easily deploy Embedditor on your PC or in private enterprise cloud or on-premise environments. By applying Embedditor's advanced cleaning techniques, filter out irrelevant embedding tokens such as stop words, punctuation, and low-relevance frequent words, you can save up to 40% on embedding and vector storage costs while achieving better search results.