TileDB Vector Search Python client
Project description
Prerequisites
- Create and activate a Python environment with pybind11 available
a. Download minimamba:
b. mamba env create -f environment.yml
c. mamba activate tiledbvspy
Build Instructions
Build and install with pip
See setup.py
for supported configuration overrides, including the libtiledb path.
pip install -e .
Direct build, then export PYTHONPATH
For development purposes, at the moment it is simpler to build directly and export the extension directory into PYTHONPATH.
- Run the top level cmake build with
-DTILEDB_VS_PYTHON=ON
mkdir fvp-build
cd fvp-build
cmake -DTILEDB_VS_PYTHON=ON ~/work/git/feature-vector-type
<cmake --build . or make -j4 etc.>
- Look at
fvp-build/python
. There should be a Python extension module:
pydev ❯ pwd
/Users/inorton/work/bld/fvp-build/python
~/work/bld/fvp-build/python
pydev ❯ ls
CMakeFiles cmake_install.cmake tiledbvspy.cpython-310-darwin.so
- Export the extension path as PYTHONPATH
export PYTHONPATH= ~/work/bld/fvp-build/python
- Run Python, and
import tiledbvspy
import tiledbvspy
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