pyspark-ai
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Create embeddings and connect a vector database
I have not found documentation on the vector store, I was looking for a way to be able to vectorize a pre-defined schema and test if the SQL engine can handle complex questions on a more complex dataset. More than happy to contribute to this if you point me in the right direction