doc correctives

Author: viclafargue

cpp/include/cuvs/neighbors/cagra.hpp

@@ -1964,6 +1964,10 @@ void serialize_to_hnswlib(
   std::optional<raft::host_matrix_view<const uint8_t, int64_t, raft::row_major>> dataset =
     std::nullopt);
 
+/**
+ * @}
+ */
+
 /**
  * @defgroup cagra_cpp_index_merge CAGRA index build functions
  * @{

cpp/include/cuvs/neighbors/hnsw.hpp

@@ -163,6 +163,10 @@ struct extend_params {
   int num_threads = 0;
 };
 
+/**
+ * @}
+ */
+
 /**
  * @defgroup hnsw_cpp_index_load Load CAGRA index as hnswlib index
  * @{

cpp/include/cuvs/neighbors/vamana.hpp

@@ -488,6 +488,10 @@ auto build(raft::resources const& res,
            raft::host_matrix_view<const uint8_t, int64_t, raft::row_major> dataset)
   -> cuvs::neighbors::vamana::index<uint8_t, uint32_t>;
 
+/**
+ * @}
+ */
+
 /**
  * @defgroup vamana_cpp_serialize Vamana serialize functions
  * @{

cpp/include/cuvs/preprocessing/spectral_embedding.hpp

@@ -23,11 +23,6 @@
 
 namespace cuvs::preprocessing::spectral_embedding {
 
-/**
- * @defgroup spectral_embedding Spectral Embedding
- * @{
- */
-
 /**
  * @brief Parameters for spectral embedding algorithm
  *
@@ -71,6 +66,11 @@ struct params {
   uint64_t seed;
 };
 
+/**
+ * @defgroup spectral_embedding Spectral Embedding
+ * @{
+ */
+
 /**
  * @brief Perform spectral embedding on input dataset
  *

docs/source/neighbors/all_neighbors.rst

@@ -16,7 +16,7 @@ All-neighbors supports multiple underlying algorithms:
 
 The algorithm partitions the dataset into clusters and distributes the work across multiple GPUs when possible, making it suitable for large-scale graph construction tasks.
 
-[ :doc:`C API <../c_api/neighbors_all_neighbors_c>` |:doc:`C++ API <../cpp_api/neighbors_all_neighbors>` | :doc:`Python API <../python_api/neighbors_all_neighbors>` ]
+[ :doc:`C API <../c_api/neighbors_all_neighbors_c>` | :doc:`C++ API <../cpp_api/neighbors_all_neighbors>` | :doc:`Python API <../python_api/neighbors_all_neighbors>` ]
 
 Algorithm Overview
 ------------------