Embedditor [::]
Improved vector search with open-source AI embeddings editor
Embedditor [::] launched on May 24, 2023 with 86 votes, #764 of 4,910 launches that month and more than 75% of that year's launches.
What it does
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.
Does a similar job
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[Embedditor] - the Open-source Microsoft Word for Vector Embeddings2023 · github.com · ▲7⚡ GUI for editing LLM vector embeddings. No more blind chunking. Upload content in any file extension, join and split chunks, edit metadata and embedding tokens + remove stop-words and punctuation with one click, add images, and download in .veml to share it with your team. - IngestAI/embedditor
Embeddinghub: A vector database built for Machine Learning embeddings2021 · github.com · ▲118The Virtual Feature Store. Turn your existing data infrastructure into a feature store. - featureform/featureform
- IMI made a website to semantically search ArXiv papers2024 · papermatch.mitanshu.tech · ▲324
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
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