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## Feature - What is the new feature? - Adds `blob_mode` support to sync and async Python query `to_pandas()` APIs. - Enables plain scan queries to return blob columns as lazy `BlobFile` objects, raw bytes, or blob descriptions. - Lets namespace-backed local tables use Lance native blob-aware pandas conversion for lazy blobs. - Why do we need this feature? - Table and Lance dataset/scanner APIs already support blob-aware pandas conversion, but LanceDB query builders did not expose that capability. - Geneva and other callers should be able to use query-level `to_pandas(blob_mode=...)` without manually constructing Lance scanners. - How does it work? - Plain scan queries route through Lance scanner native `to_pandas(blob_mode=...)`, preserving filter, projection, limit, offset, row id, and alias/expression projection behavior. - Non-native query shapes keep existing Arrow fallback semantics and raise a clear error when they return blob columns with `blob_mode="lazy"` or `blob_mode="bytes"`. - Focused tests cover table/query blob modes, filter/select/limit/offset/alias query cases, async query behavior, vector-query error boundaries, and namespace-backed lazy blobs. ## Validation - `cd python && .venv/bin/maturin develop --uv --extras tests,dev --profile dev` - `cd python && uv run --frozen --no-sync pytest python/tests/test_table.py::test_table_to_pandas_blob_modes python/tests/test_table.py::test_async_table_to_pandas_blob_bytes python/tests/test_query.py::test_plain_scan_query_to_pandas_blob_modes python/tests/test_query.py::test_plain_scan_query_to_pandas_blob_projection python/tests/test_query.py::test_async_plain_scan_query_to_pandas_blob_projection python/tests/test_query.py::test_vector_query_to_pandas_blob_mode_requires_native_path python/tests/test_namespace.py::TestNamespaceConnection::test_table_to_pandas_blob_lazy_through_namespace -q` - `cd python && uv run --frozen --no-sync ruff format --check .` - `cd python && uv run --frozen --no-sync ruff check .` - `git diff --check`
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.