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Howdy, I am curious if you might elaborate on how indexes are created and queried when using an embedding and another column like in the below example. At the moment, I believe, with pgvector, there is no way to create an index on an embedding and column.
This thread in pgvector notes that it the current approach may be using a partial index but with many values in a column, that is not very feasible.
CREATEINDEXmy_remote_indexON products USING pinecone (embedding, price) with (host ='my-pinecone-index.pinecone.io');
The text was updated successfully, but these errors were encountered:
Howdy, I am curious if you might elaborate on how indexes are created and queried when using an embedding and another column like in the below example. At the moment, I believe, with pgvector, there is no way to create an index on an embedding and column.
This thread in pgvector notes that it the current approach may be using a partial index but with many values in a column, that is not very feasible.
The text was updated successfully, but these errors were encountered: