Fix leanvec ood for public-only build and update binaries (#290)

Fixes public-only cpp runtime bindings validation with lack of
equivalent header that was added for private interface use with leanvec
ood.

Also allows runtime bindings validation runs to proceed regardless of
whether another fails, making it easier to identify root cause of
issues.

Lastly, updates CMakeLists.txts for shared examples and cpp runtime
bindings to use v0.2.0 binaries as this was investigated initially as a
potential cause of the CI issues and should be done anyway

Author: ethanglaser

.github/workflows/build-cpp-runtime-bindings.yml

@@ -111,6 +111,7 @@ jobs:
           - name: "IVF public only"
             suffix: "-ivf"
             enable_ivf: "ON"
+      fail-fast: false
 
     steps:
       - uses: actions/checkout@v6

bindings/cpp/CMakeLists.txt

@@ -121,14 +121,14 @@ if (SVS_RUNTIME_ENABLE_LVQ_LEANVEC)
     else()
         # Links to LTO-enabled static library, requires GCC/G++ 11.2
         if(CMAKE_CXX_COMPILER_ID STREQUAL "GNU" AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL "11.2" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS "11.3")
-            set(SVS_URL "https://github.com/intel/ScalableVectorSearch/releases/download/nightly/svs-shared-library-lto-nightly-2026-02-05-1017.tar.gz"
+            set(SVS_URL "https://github.com/intel/ScalableVectorSearch/releases/download/v0.2.0/svs-shared-library-0.2.0-lto-ivf.tar.gz"
                 CACHE STRING "URL to download SVS shared library")
         else()
             message(WARNING
                 "Pre-built LVQ/LeanVec SVS library requires GCC/G++ v.11.2 to apply LTO optimizations."
                 "Current compiler: ${CMAKE_CXX_COMPILER_ID} ${CMAKE_CXX_COMPILER_VERSION}"
             )
-            set(SVS_URL "https://github.com/intel/ScalableVectorSearch/releases/download/nightly/svs-shared-library-nightly-2026-02-05-1017.tar.gz"
+            set(SVS_URL "https://github.com/intel/ScalableVectorSearch/releases/download/v0.2.0/svs-shared-library-0.2.0-ivf.tar.gz"
                 CACHE STRING "URL to download SVS shared library")
         endif()
         include(FetchContent)

bindings/cpp/src/training.cpp

@@ -90,6 +90,20 @@ Status LeanVecTrainingData::build(
         "LeanVecTrainingData is not supported in this build configuration."
     );
 }
+Status LeanVecTrainingData::build(
+    LeanVecTrainingData** SVS_UNUSED(training_data),
+    size_t SVS_UNUSED(dim),
+    size_t SVS_UNUSED(n),
+    const float* SVS_UNUSED(x),
+    size_t SVS_UNUSED(n_q),
+    const float* SVS_UNUSED(x_q),
+    size_t SVS_UNUSED(leanvec_dims)
+) noexcept {
+    return Status(
+        ErrorCode::NOT_IMPLEMENTED,
+        "LeanVecTrainingData is not supported in this build configuration."
+    );
+}
 Status LeanVecTrainingData::destroy(LeanVecTrainingData* SVS_UNUSED(training_data)
 ) noexcept {
     return Status(

examples/cpp/shared/CMakeLists.txt

@@ -24,7 +24,7 @@ find_package(svs QUIET)
 if(NOT svs_FOUND)
     # If sourcing from pip/conda, the following steps are not necessary, simplifying workflow
     # If not found, download tarball from GitHub release and follow steps to fetch and find
-    set(SVS_URL "https://github.com/intel/ScalableVectorSearch/releases/download/v0.1.0/svs-shared-library-0.1.0.tar.gz" CACHE STRINGS "URL to download SVS shared library tarball if not found in system")
+    set(SVS_URL "https://github.com/intel/ScalableVectorSearch/releases/download/v0.2.0/svs-shared-library-0.2.0.tar.gz" CACHE STRINGS "URL to download SVS shared library tarball if not found in system")
 
     message(STATUS "SVS not found in system, downloading from: ${SVS_URL}")