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4323ca0147
Closes #3000 The hybrid search `explain_plan` now shows the reranker as the top-level node with the vector and FTS sub-plans indented underneath, instead of just listing them separately with no reranker context. **Before:** ``` Vector Search Plan: ProjectionExec: ... FTS Search Plan: ProjectionExec: ... ``` **After:** ``` RRFReranker(K=60) Vector Search Plan: ProjectionExec: ... FTS Search Plan: ProjectionExec: ... ``` Other rerankers display similarly ; e.g. `LinearCombinationReranker(weight=0.7, fill=1.0)`, `MRRReranker(weight_vector=0.5, weight_fts=0.5)`, `CohereReranker(model_name=name)`. --------- Signed-off-by: dask-58 <googldhruv@gmail.com> Co-authored-by: Will Jones <willjones127@gmail.com>
LanceDB
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.