Embedditor is an open source Editor of vector LLM embeddings, which enables users to create impressive search results, improve performance of vector search, and save up to 30% on embedding and vector storage with the Simplicity of MS Word.

Hey Everybody, We are thrilled to open source Embedditor today. Embedditor is the open-source MS Word equivalent for embeddings that helps you get the most out of your vector search, while saving up to 30% on vectorisation and storage. Github : https://github.com/embedditor It's an innovative solution inspired by the experiences of over 30,000 IngestAI users. Our insights revealed a common bottleneck in AI and LLM-related applications, one that goes beyond LLM hallucinations or token limits, which are far easier to resolve. The prevailing issue lies in the GIGO (garbage in, garbage out) principle. With no one-size-fits-all approach to chunking and embedding, certain models excel with individual sentences, while others thrive on chunks of 250 to 500 tokens. Blindly splitting chunks by the quantity of characters or tokens, and embedding content without normalization and with up to 40% of redundant noise (such as punctuations, stop-words, and low-relevance frequent terms) often leads to suboptimal vector search results and low-performing LLM-related applications using semantic or generative search. The issue was consisting in trying to enhance vector search using existing technologies, which proved to be as challenging for our users, as creating an outstanding document using a basic .txt format. We decided to address the root problem, so we developed Embedditor - the Microsoft Word equivalent for embedding pre-processing, enabling with no background in data science or technical skills to improve performance of their vector search capabilities while saving up to 40% on embedding and storage. We've made Embedditor open-source and accessible to all because we genuinely believe that by improving vector search performance and boosting cost-efficiency simultaneously, Embedditor may have significant impact on current NLP and LLM industry. Hope you loved it. ❤️ and we would love to hear your usecases & feedbacks. 🙌

@vasyl_r_ This open-source AI embeddings editor allows for faster and more accurate searches. The improved search capabilities of Embedditor are a dream come true for researchers and data analysts. The software is easy to use and the interface is intuitive, making it easy to get started.

@vasyl_r_ Great product guys! Nice work! How big is your dev team out curiosity? Keep up the great work!

Congratulations guys!!! Great job 👏🏻

@iryna_rakivnenko thanks a lot for your support))

@iryna_rakivnenko thank you! We're happy to build Embedditor!

Cool!!!! Congratulations!!!!

@juliatitova thank you 🙏

Really cool and innovative self-hosted web application with a simple and minimalistic interface to search through your documents and communication with Openai based on different models!

[Embedditor]

Effortlessly Edit LLM Embeddings with Simplicity of MS Word

Effortlessly Edit LLM Embeddings with Simplicity of MS Word

[Embedditor]

Effortlessly Edit LLM Embeddings with Simplicity of MS Word

Effortlessly Edit LLM Embeddings with Simplicity of MS Word

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