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A comment on Show HN: Embeddinghub: A vector database built for Machine Learning embeddings. Parent comment

Re:Show HN: Embeddinghub: A vector database built for Machin... by cyrusthegreat on Thursday September 16, 2021 @02:25PM (#28555266)
Yes! We plan to bring Faiss in and utilize a lot of its functionality, our goal for this release was to get an end-to-end working to get feedback on the API. HNSW was a good default with this in mind.
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Re:Show HN: Embeddinghub: A vector database built for Machin... by jamesblonde on Thursday September 16, 2021 @02:45PM (#28555568)
How does it compare to the OpenDistro for Elastic KNN plugin - which also uses HNSW (and also includes scalable storage, high availability, backups, and filtering)?
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Re:Show HN: Embeddinghub: A vector database built for Machin... by cyrusthegreat on Thursday September 16, 2021 @03:06PM (#28555869)
Our API is built from the ground up with the machine learning workflow in mind. For example, we have a training API that allows you to batch requests and even download your embeddings and generate an HNSW index locally. Our view of versioning, rollbacks, and more makes a lot of sense for an ML index, but very little sense for a search index.
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