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+name: Build cmake
+inputs:
+  opt_level:
+    description: 'Compile options / optimization level.'
+    required: false
+    default: generic
+  gpu:
+    description: 'Enable GPU support.'
+    required: false
+    default: OFF
+  cuvs:
+    description: 'Enable cuVS support.'
+    required: false
+    default: OFF
+  rocm:
+    description: 'Enable ROCm support.'
+    required: false
+    default: OFF
+runs:
+  using: composite
+  steps:
+    - name: Setup miniconda
+      uses: conda-incubator/setup-miniconda@v3
+      with:
+        python-version: '3.11'
+        miniforge-version: latest # ensures conda-forge channel is used.
+        channels: conda-forge
+        conda-remove-defaults: 'true'
+        # Set to aarch64 if we're on arm64 because there's no miniforge ARM64 package, just aarch64.
+        # They are the same thing, just named differently.
+        architecture: ${{ runner.arch  == 'ARM64' && 'aarch64' || runner.arch }}
+    - name: Configure build environment
+      shell: bash
+      run: |
+        # initialize Conda
+        conda config --set solver libmamba
+        # Ensure starting packages are from conda-forge.
+        conda list --show-channel-urls
+        conda update -y -q conda
+        echo "$CONDA/bin" >> $GITHUB_PATH
+
+        conda install -y -q python=3.11 cmake=3.26 make=4.2 swig=4.0 "numpy<2" scipy=1.14 pytest=7.4 gflags=2.2
+
+        # install base packages for ARM64
+        if [ "${{ runner.arch }}" = "ARM64" ]; then
+          conda install -y -q -c conda-forge openblas=0.3 gxx_linux-aarch64=14.2 sysroot_linux-aarch64=2.17
+        fi
+
+        # install base packages for X86_64
+        if [ "${{ runner.arch }}" = "X64" ]; then
+          # TODO: merge this with ARM64
+          conda install -y -q -c conda-forge gxx_linux-64=14.2 sysroot_linux-64=2.17
+          conda install -y -q mkl=2022.2.1 mkl-devel=2022.2.1
+        fi
+
+        # no CUDA needed for ROCm so skip this
+        if [ "${{ inputs.rocm }}" = "ON" ]; then
+          :
+        # regular CUDA for GPU builds
+        elif [ "${{ inputs.gpu }}" = "ON" ] && [ "${{ inputs.cuvs }}" = "OFF" ]; then
+          conda install -y -q cuda-toolkit=12.4 -c "nvidia/label/cuda-12.4.0"
+        # and CUDA from cuVS channel for cuVS builds
+        elif [ "${{ inputs.cuvs }}" = "ON" ]; then
+          conda install -y -q libcuvs=24.12 'cuda-version>=12.0,<=12.5' cuda-toolkit=12.4.1 gxx_linux-64=12.4 -c rapidsai -c conda-forge
+        fi
+
+        # install test packages
+        if [ "${{ inputs.rocm }}" = "ON" ]; then
+          : # skip torch install via conda, we need to install via pip to get
+            #  ROCm-enabled version until it's supported in conda by PyTorch
+        elif [ "${{ inputs.gpu }}" = "ON" ]; then
+          conda install -y -q "pytorch<2.5" pytorch-cuda=12.4 -c pytorch -c "nvidia/label/cuda-12.4.0"
+        else
+          conda install -y -q "pytorch<2.5" -c pytorch
+        fi
+    - name: ROCm - Install dependencies
+      if: inputs.rocm == 'ON'
+      shell: bash
+      run: |
+        # Update repos and install kmod, wget, gpg
+        sudo apt-get -qq update >/dev/null
+        sudo apt-get -qq install -y kmod wget gpg >/dev/null
+
+        # Get UBUNTU version name
+        UBUNTU_VERSION_NAME=`cat /etc/os-release | grep UBUNTU_CODENAME | awk -F= '{print $2}'`
+
+        # Set ROCm version
+        ROCM_VERSION="6.2"
+
+        # Download, prepare, and install the package signing key
+        mkdir --parents --mode=0755 /etc/apt/keyrings
+        wget https://repo.radeon.com/rocm/rocm.gpg.key -O - | gpg --dearmor | sudo tee /etc/apt/keyrings/rocm.gpg > /dev/null
+
+        # Add rocm repository
+        wget -qO - http://repo.radeon.com/rocm/rocm.gpg.key | sudo apt-key add -
+        rocm_baseurl="http://repo.radeon.com/rocm/apt/${ROCM_VERSION}"
+        echo "deb [arch=amd64] ${rocm_baseurl} ${UBUNTU_VERSION_NAME} main" | sudo tee /etc/apt/sources.list.d/rocm.list
+        sudo apt-get -qq update --allow-insecure-repositories >/dev/null
+        sudo apt-get -qq install -y --allow-unauthenticated \
+            "rocm-dev${ROCM_VERSION}" "rocm-utils${ROCM_VERSION}" \
+            "rocm-libs${ROCM_VERSION}" >/dev/null
+
+        # Fake presence of MI200-class accelerators
+        echo "gfx90a" | sudo tee /opt/rocm/bin/target.lst
+
+        # Cleanup
+        sudo apt-get -qq autoclean >/dev/null
+        sudo apt-get -qq clean >/dev/null
+        sudo rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
+    - name: Symblink system dependencies
+      if: inputs.rocm == 'ON'
+      shell: bash
+      run: |
+        # symblink system libraries for HIP compiler
+        sudo ln -s /lib/x86_64-linux-gnu/libc.so.6 /lib64/libc.so.6
+        sudo ln -s /lib/x86_64-linux-gnu/libc_nonshared.a /usr/lib64/libc_nonshared.a
+        sudo ln -s /usr/lib/x86_64-linux-gnu/libpthread.so.0 /lib64/libpthread.so.0
+        sudo ln -s $HOME/miniconda3/x86_64-conda-linux-gnu/sysroot/usr/lib64/libpthread_nonshared.a /usr/lib64/libpthread_nonshared.a
+    - name: Build all targets
+      shell: bash
+      run: |
+        eval "$(conda shell.bash hook)"
+        conda activate
+        cmake -B build \
+              -DBUILD_TESTING=ON \
+              -DBUILD_SHARED_LIBS=ON \
+              -DFAISS_ENABLE_GPU=${{ inputs.gpu }} \
+              -DFAISS_ENABLE_CUVS=${{ inputs.cuvs }} \
+              -DFAISS_ENABLE_ROCM=${{ inputs.rocm }} \
+              -DFAISS_OPT_LEVEL=${{ inputs.opt_level }} \
+              -DFAISS_ENABLE_C_API=ON \
+              -DPYTHON_EXECUTABLE=$CONDA/bin/python \
+              -DCMAKE_BUILD_TYPE=Release \
+              -DBLA_VENDOR=${{ runner.arch == 'X64' && 'Intel10_64_dyn' || '' }} \
+              -DCMAKE_CUDA_FLAGS=${{ runner.arch == 'X64' && '"-gencode arch=compute_75,code=sm_75"' || '' }} \
+              .
+        make -k -C build -j$(nproc)
+    - name: C++ tests
+      shell: bash
+      run: |
+        export GTEST_OUTPUT="xml:$(realpath .)/test-results/googletest/"
+        make -C build test
+    - name: C++ perf benchmarks
+      shell: bash
+      if: inputs.rocm == 'OFF'
+      run: |
+        find ./build/perf_tests/ -executable -type f -name "bench*" -exec '{}' -v \;
+    - name: Install Python extension
+      shell: bash
+      working-directory: build/faiss/python
+      run: |
+        $CONDA/bin/python setup.py install
+    - name: ROCm - install ROCm-enabled torch via pip
+      if: inputs.rocm == 'ON'
+      shell: bash
+      run: |
+        pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm6.1
+    - name: Python tests (CPU only)
+      if: inputs.gpu == 'OFF'
+      shell: bash
+      run: |
+        pytest --junitxml=test-results/pytest/results.xml tests/test_*.py
+        pytest --junitxml=test-results/pytest/results-torch.xml tests/torch_*.py
+    - name: Python tests (CPU + GPU)
+      if: inputs.gpu == 'ON'
+      shell: bash
+      run: |
+        pytest --junitxml=test-results/pytest/results.xml tests/test_*.py
+        pytest --junitxml=test-results/pytest/results-torch.xml tests/torch_*.py
+        cp tests/common_faiss_tests.py faiss/gpu/test
+        pytest --junitxml=test-results/pytest/results-gpu.xml faiss/gpu/test/test_*.py
+        pytest --junitxml=test-results/pytest/results-gpu-torch.xml faiss/gpu/test/torch_*.py
+    - name: Test avx2 loading
+      if: inputs.opt_level == 'avx2'
+      shell: bash
+      run: |
+        FAISS_DISABLE_CPU_FEATURES=AVX2 LD_DEBUG=libs $CONDA/bin/python -c "import faiss" 2>&1 | grep faiss.so
+        LD_DEBUG=libs $CONDA/bin/python -c "import faiss" 2>&1 | grep faiss_avx2.so
+    - name: Upload test results
+      if: always()
+      uses: actions/upload-artifact@v4
+      with:
+        name: test-results-arch=${{ runner.arch }}-opt=${{ inputs.opt_level }}-gpu=${{ inputs.gpu }}-cuvs=${{ inputs.cuvs }}-rocm=${{ inputs.rocm }}
+        path: test-results
+    - name: Check installed packages channel
+      shell: bash
+      run: |
+        # Shows that all installed packages are from conda-forge.
+        conda list --show-channel-urls
@@ -0,0 +1,107 @@
+name: Conda build
+description: Builds Faiss inside a Conda environment and uploads to repository when label is provided.
+inputs:
+  label:
+    description: "The label to be used for uploads to Conda."
+    default: ""
+    required: false
+  cuda:
+    description: "CUDA toolkit version to use."
+    default: ""
+    required: false
+  cuvs:
+    description: "Enable cuVS support."
+    default: ""
+    required: false
+runs:
+  using: composite
+  steps:
+    - name: Choose shell
+      shell: bash
+      id: choose_shell
+      run: |
+        # Use pwsh on Windows; bash everywhere else
+        if [ "${{ runner.os }}" != "Windows" ]; then
+          echo "shell=bash" >> "$GITHUB_OUTPUT"
+        else
+          echo "shell=pwsh" >> "$GITHUB_OUTPUT"
+        fi
+    - name: Setup miniconda
+      uses: conda-incubator/setup-miniconda@v3
+      with:
+        python-version: '3.11'
+        miniforge-version: latest # ensures conda-forge channel is used.
+        channels: conda-forge
+        conda-remove-defaults: 'true'
+        # Set to runner.arch=aarch64 if we're on arm64 because
+        # there's no miniforge ARM64 package, just aarch64.
+        # They are the same thing, just named differently.
+        # However there is an ARM64 for macOS, so exclude that.
+        architecture: ${{ (runner.arch == 'ARM64' && runner.os != 'macOS') && 'aarch64' || runner.arch }}
+    - name: Install conda build tools
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      run: |
+        # Ensure starting packages are from conda-forge.
+        conda list --show-channel-urls
+        conda install -y -q "conda!=24.11.0"
+        conda install -y -q "conda-build!=24.11.0"
+        conda list --show-channel-urls
+    - name: Enable anaconda uploads
+      if: inputs.label != ''
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      env:
+        PACKAGE_TYPE: ${{ inputs.label }}
+      run: |
+        conda install -y -q anaconda-client
+        conda config --set anaconda_upload yes
+    - name: Conda build (CPU)
+      if: inputs.label == '' && inputs.cuda == ''
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      working-directory: conda
+      run: |
+        conda build faiss --python 3.11 -c pytorch
+    - name: Conda build (CPU) w/ anaconda upload
+      if: inputs.label != '' && inputs.cuda == ''
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      working-directory: conda
+      env:
+        PACKAGE_TYPE: ${{ inputs.label }}
+      run: |
+        conda build faiss --user pytorch --label ${{ inputs.label }} -c pytorch
+    - name: Conda build (GPU)
+      if: inputs.label == '' && inputs.cuda != '' && inputs.cuvs == ''
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      working-directory: conda
+      run: |
+        conda build faiss-gpu --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
+            -c pytorch -c nvidia/label/cuda-${{ inputs.cuda }} -c nvidia
+    - name: Conda build (GPU) w/ anaconda upload
+      if: inputs.label != '' && inputs.cuda != '' && inputs.cuvs == ''
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      working-directory: conda
+      env:
+        PACKAGE_TYPE: ${{ inputs.label }}
+      run: |
+        conda build faiss-gpu --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
+            --user pytorch --label ${{ inputs.label }} -c pytorch -c nvidia/label/cuda-${{ inputs.cuda }} -c nvidia
+    - name: Conda build (GPU w/ cuVS)
+      if: inputs.label == '' && inputs.cuda != '' && inputs.cuvs != ''
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      working-directory: conda
+      run: |
+        conda build faiss-gpu-cuvs --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
+            -c pytorch -c rapidsai -c rapidsai-nightly -c conda-forge -c nvidia
+    - name: Conda build (GPU w/ cuVS) w/ anaconda upload
+      if: inputs.label != '' && inputs.cuda != '' && inputs.cuvs != ''
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      working-directory: conda
+      env:
+        PACKAGE_TYPE: ${{ inputs.label }}
+      run: |
+        conda build faiss-gpu-cuvs --variants '{ "cudatoolkit": "${{ inputs.cuda }}" }' \
+            --user pytorch --label ${{ inputs.label }} -c pytorch -c rapidsai -c rapidsai-nightly -c conda-forge -c nvidia
+    - name: Check installed packages channel
+      shell: ${{ steps.choose_shell.outputs.shell }}
+      run: |
+        # Shows that all installed packages are from conda-forge.
+        conda list --show-channel-urls
@@ -0,0 +1,23 @@
+name: Close Inactive Issues
+on:
+  schedule:
+    - cron: "30 1 * * *"
+
+jobs:
+  close-issues:
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: write
+    steps:
+      - uses: actions/stale@v5
+        with:
+          only-labels: autoclose
+          days-before-issue-stale: 7
+          days-before-issue-close: 7
+          stale-issue-label: "stale"
+          stale-issue-message: "This issue is stale because it has been open for 7 days with no activity."
+          close-issue-message: "This issue was closed because it has been inactive for 7 days since being marked as stale."
+          days-before-pr-stale: -1
+          days-before-pr-close: -1
+          repo-token: ${{ secrets.GITHUB_TOKEN }}