Embedditor
Embedditor is the open-source MS Word equivalent for embedding that helps you get the most out of your vector search.
![prompt-engineering](https://embedditor.ai/images/BAir-M_Bus-17_Single-07.jpg)
Embed like a pro
Improve your embedding metadata and embedding tokens with a user-friendly UI. Seamlessly apply advanced NLP cleansing techniques like TF-IDF, normalize, and enrich your embedding tokens, improving efficiency and accuracy in your LLM-related applications.
![features-image](https://embedditor.ai/images/0_V2ViIGFuYWx5dGljcyBkb29kbGUgaWNvbnMgc2VhcmNoIGlsbHVzdHJhdGlvbg.jpg)
Uplevel your vector search
Optimize the relevance of the content you get back from a vector database, intelligently splitting or merging the content based on its structure and adding void or hidden tokens, making chunks even more semantically coherent.
![background3](https://embedditor.ai/images/BAir-M_Bus-17_Single-07.jpg)
Get better security
Get the full control over your data, effortlessly deploying Embedditor locally on your PC or in your dedicated enterprise cloud or on-premises environment.
![background3](https://embedditor.ai/images/bink_bus_07_single_05.jpg)
Reduce your costs
Applying Embedditor advanced cleansing techniques to filter out from embedding irrelevant tokens like stop-words, punctuations, and low-relevant frequently words, you can save up to 40% on the cost of embedding and vector storage while getting better search results.
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