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a5ebac18bd
We've had a few cases recently where Faiss is unable to load its indexes properly, like after users upgrade versions of Llama Stack or numpy dependencies. This catches any exceptions when deserializing the index with an error message about what likely went wrong and how to potentially fix it so that users can attempt to fix this without needing to raise an issue or being confused. The most common case of new users hitting this will be with the SqliteKVStoreImpl, since that's our local storage most people use when testing out Llama Stack. So, I added a `__str__` method to it that shows the proper path and table name that users need to potentially delete to resolve this error. Signed-off-by: Ben Browning <bbrownin@redhat.com> |
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| .. | ||
| agents | ||
| datasetio | ||
| eval | ||
| files/localfs | ||
| inference | ||
| ios/inference | ||
| post_training | ||
| safety | ||
| scoring | ||
| telemetry | ||
| tool_runtime | ||
| vector_io | ||
| __init__.py | ||