VekterDB turns any SQLAlchemy compliant database into a vector database by utilizing FAISS to index the vectors.
VekterDB may be install using pip
pip install vekterdb
Documentation can be found at https://mhendrey.github.io/vekterdb
Transform any SQLAlchemy compliant database into a vector database by adding any type of a FAISS index in order to perform approximate nearest neighbor (ANN) search on the vector column.
License: GNU General Public License v3.0
VekterDB turns any SQLAlchemy compliant database into a vector database by utilizing FAISS to index the vectors.
VekterDB may be install using pip
pip install vekterdb
Documentation can be found at https://mhendrey.github.io/vekterdb
Might be nice to save an index to disk after training, but before adding in any data. Not uncommon for errors to happen during the add phase so it would be nice not to have to restart from the beginning.
Need to figure out how to stay abstract enough that we can handle any type of FAISS index and move the necessary parts to the GPU. Right now, I'm not seeing how to do that. But maybe it's ok if it only works for the IVF flavor indices.
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