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## What's broken Calling `RRFReranker().rerank_multivector([])` crashes with `IndexError: list index out of range` because the method accesses `vector_results[0]` for the type-homogeneity check before verifying the list is non-empty. The `all()` call passes vacuously on an empty iterable so the crash hits the next lines. ```python from lancedb.rerankers import RRFReranker RRFReranker().rerank_multivector([]) # IndexError: list index out of range ``` ## Why it happens The type check uses `vector_results[0]` as the reference type but never guards against an empty list. `all(...)` short-circuits to `True` when the iterable is empty, so the bad index access on the lines that follow is never reached by the existing guard logic. ## Fix Add an explicit empty-list check before any indexing.
LanceDB Python SDK
A Python library for LanceDB.
Installation
pip install lancedb
Preview Releases
Stable releases are created about every 2 weeks. For the latest features and bug fixes, you can install the preview release. These releases receive the same level of testing as stable releases, but are not guaranteed to be available for more than 6 months after they are released. Once your application is stable, we recommend switching to stable releases.
pip install --pre --extra-index-url https://pypi.fury.io/lancedb/ lancedb
Usage
Basic Example
import lancedb
db = lancedb.connect('<PATH_TO_LANCEDB_DATASET>')
table = db.open_table('my_table')
results = table.search([0.1, 0.3]).limit(20).to_list()
print(results)
Development
See CONTRIBUTING.md for information on how to contribute to LanceDB.