update version to 0.0.7 (#90)

Co-authored-by: ibhati <ishwar.s.bhati@intel.com>

Author: ethanglaser

CMakeLists.txt

@@ -23,7 +23,7 @@ project(svs
     # - /bindings/python/tests/test_common.py
     # Manually keep in-sync with:
     # - /bindings/python/setup.py
-    VERSION 0.0.6
+    VERSION 0.0.7
 )
 
 set(SVS_LIB svs_devel)

HISTORY.md

@@ -1,3 +1,7 @@
+# SVS 0.0.6 Release Notes
+
+**Please note** that this repository only contains the open-source portion of the SVS library, which supports all functionalities and features described in the [documentation](https://intel.github.io/ScalableVectorSearch/), except for our proprietary vector compression techniques, specifically LVQ [[ABHT23]](#1) and Leanvec [[TBAH24]](#2). These techniques are closed-source and supported exclusively on Intel hardware. We provide [shared library](https://github.com/intel/ScalableVectorSearch/releases) and [PyPI package](https://pypi.org/project/scalable-vs/) to enable these vector compression techniques in C++ and Python, respectively.
+
 # SVS 0.0.4 Release Notes
 
 Note that `pysvs` was changed to `svs` since this release.

NEWS.md

@@ -1,3 +1,13 @@
-# SVS 0.0.6 Release Notes
+# SVS 0.0.7 Release Notes
 
-**Please note** that this repository only contains the open-source portion of the SVS library, which supports all functionalities and features described in the [documentation](https://intel.github.io/ScalableVectorSearch/), except for our proprietary vector compression techniques, specifically LVQ [[ABHT23]](#1) and Leanvec [[TBAH24]](#2). These techniques are closed-source and supported exclusively on Intel hardware. We provide [shared library](https://github.com/intel/ScalableVectorSearch/releases) and [PyPI package](https://pypi.org/project/scalable-vs/) to enable these vector compression techniques in C++ and Python, respectively.
+## Additions and Changes
+
+* Implemented batch iterator support for hybrid search
+
+* Added support for custom threading and memory allocation
+
+* Introduced a timeout feature for search calls
+
+* Introduced `reuse_empty` flag in dynamic Vamana, enabling users to choose whether to reuse empty entries that may exist after deletion and consolidation
+
+* Enhanced heuristics in the Vamana construct to improve efficiency when adding a small number of points.

bindings/python/setup.py

@@ -60,7 +60,7 @@ def target(arch):
 
 setup(
     name="scalable-vs",
-    version="0.0.6",
+    version="0.0.7",
     description="Scalable Vector Search (SVS) is a performance library for vector similarity search.",
     long_description=long_description,
     long_description_content_type="text/markdown",

bindings/python/tests/test_common.py

@@ -42,7 +42,7 @@ def tearDown(self):
     #####
 
     def test_version(self):
-        self.assertEqual(svs.library_version(), "v0.0.6")
+        self.assertEqual(svs.library_version(), "v0.0.7")
 
     def test_conversion(self):
         # signed

tests/svs/lib/version.cpp

@@ -46,6 +46,6 @@ CATCH_TEST_CASE("Version Numbers", "[lib][versions]") {
 
 // Keep in-sync with CMakeLists.txt
 CATCH_TEST_CASE("Global Version", "[lib][versions]") {
-    static_assert(svs::lib::svs_version == svs::lib::Version(0, 0, 6), "Version mismatch!");
-    CATCH_REQUIRE(svs::lib::svs_version == svs::lib::Version(0, 0, 6));
+    static_assert(svs::lib::svs_version == svs::lib::Version(0, 0, 7), "Version mismatch!");
+    CATCH_REQUIRE(svs::lib::svs_version == svs::lib::Version(0, 0, 7));
 }