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Getting 0 score while querying similar products #12
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Can you describe the use case in more details? How did you create your index? what was your query? |
Actually I created 0.5 million random vectors of dimension 100. I used numpy.random.random() to generate 100 dimension vectors. As a primary key I had passed randomly generated product IDs. At the query stage as well, I was passing a 100 dimensional vector as a query vector. |
@sameersharma00747 are you using an apple-silicon machine? please notice this issue RediSearch/RediSearch#2725 |
@DvirDukhan Yes, I am running it on Apple M1 pro. Also, I am using L2 as the distance metric. |
Can you please try it with Redis stack installation? The docker is x86 build so it is not compatible with m1. |
Sure, will try that. Hope it works. |
What's the reason for getting zero as score while querying similar vector in Redis. All results returned are having 0 as score.
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