[BUG] Server throws 500 on ValueError when vector dimensions are mismatched · Issue #85 · lexy-ai/lexy · GitHub
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Describe the bug
If you create an embedding field with the wrong dims, it causes a 500 in the query endpoint.
To Reproduce
Steps to reproduce the behavior:
Create an index with an embedding field that has the wrong value for
dims
, and then query against it.Additional context
Stacktrace from Vishal below.
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