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Is the hybrid search of dense, sparse, and colbert vector embeddings supported? If it is supported, can you give a full example like in this?
Anything else?
If it currently is not supported, can we create a workaround by using a custom scoring function like in this? And, is the scoring function diver based on each model being used?
The text was updated successfully, but these errors were encountered:
Is there an existing issue for this?
What is your question?
Is the hybrid search of dense, sparse, and colbert vector embeddings supported? If it is supported, can you give a full example like in this?
Anything else?
If it currently is not supported, can we create a workaround by using a custom scoring function like in this? And, is the scoring function diver based on each model being used?
The text was updated successfully, but these errors were encountered: