diff --git a/projects/rccl/docs/api-library.rst b/projects/rccl/docs/api-reference/api-library.rst
similarity index 100%
rename from projects/rccl/docs/api-library.rst
rename to projects/rccl/docs/api-reference/api-library.rst
diff --git a/projects/rccl/docs/library-specification.rst b/projects/rccl/docs/api-reference/library-specification.rst
similarity index 100%
rename from projects/rccl/docs/library-specification.rst
rename to projects/rccl/docs/api-reference/library-specification.rst
diff --git a/projects/rccl/docs/index.rst b/projects/rccl/docs/index.rst
index a9960b2019..94582f35a3 100644
--- a/projects/rccl/docs/index.rst
+++ b/projects/rccl/docs/index.rst
@@ -8,10 +8,16 @@
 RCCL documentation
 ===========================
 
-Welcome to the ROCm Collective Communication Library (RCCL) docs home page! To learn more, see :ref:`what-is-rccl`.
+RCCL (pronounced “Rickel”) is a stand-alone library that provides multi-GPU and multi-node collective communication primitives optimized for AMD GPUs.
+It implements routines such as ``all-reduce``, ``all-gather``, ``reduce``, ``broadcast``, ``reduce-scatter``, ``gather``, ``scatter``, ``all-to-allv``, and ``all-to-all`` as well as direct point-to-point (GPU-to-GPU) send and receive operations.
+The provided collective communication routines are implemented using Ring and Tree algorithms. They are optimized to achieve high bandwidth and low latency by leveraging topology awareness, high-speed interconnects, and RDMA based collectives. 
 
-Our documentation is structured as follows:
+RCCL utilizes PCIe and xGMI high-speed interconnects for intra-node communication as well as InfiniBand, RoCE, and TCP/IP for inter-node communication.
+It supports an arbitrary number of GPUs installed in a single-node or multi-node platform and can be easily integrated into single- or multi-process (e.g., MPI) applications.
 
+You can access RCCL code on our `GitHub repository <https://github.com/ROCm/rccl>`_.
+
+The documentation is structured as follows:
 
 .. grid:: 2
   :gutter: 3
diff --git a/projects/rccl/docs/sphinx/_toc.yml.in b/projects/rccl/docs/sphinx/_toc.yml.in
index ce1d262a08..3152ccf499 100644
--- a/projects/rccl/docs/sphinx/_toc.yml.in
+++ b/projects/rccl/docs/sphinx/_toc.yml.in
@@ -1,12 +1,11 @@
 root: index
 subtrees:
-- entries:
-  - file: what-is-rccl
+
 - caption: API reference 
   entries:
-  - file: library-specification
+  - file: api-reference/library-specification
     title: Library specification
-  - file: api-library
+  - file: api-reference/api-library
   
 - caption: About
   entries:
diff --git a/projects/rccl/docs/what-is-rccl.rst b/projects/rccl/docs/what-is-rccl.rst
deleted file mode 100644
index 110b4651c8..0000000000
--- a/projects/rccl/docs/what-is-rccl.rst
+++ /dev/null
@@ -1,16 +0,0 @@
-.. meta::
-   :description: RCCL is a stand-alone library that provides multi-GPU and multi-node collective communication primitives optimized for AMD GPUs
-   :keywords: RCCL, ROCm, library, API
-
-.. _what-is-rccl:
-
-=====================
-What is RCCL?
-=====================
-
-RCCL (pronounced “Rickel”) is a stand-alone library that provides multi-GPU and multi-node collective communication primitives optimized for AMD GPUs.
-It implements routines such as `all-reduce`, `all-gather`, `reduce`, `broadcast`, `reduce-scatter`, `gather`, `scatter`, `all-to-allv`, and `all-to-all` as well as direct point-to-point (GPU-to-GPU) send and receive operations.
-The provided collective communication routines are implemented using Ring and Tree algorithms. They are optimized to achieve high bandwidth and low latency by leveraging topology awareness, high-speed interconnects, and RDMA based collectives. 
-
-RCCL utilizes PCIe and xGMI high-speed interconnects for intra-node communication as well as InfiniBand, RoCE, and TCP/IP for inter-node communication.
-It supports an arbitrary number of GPUs installed in a single-node or multi-node platform and can be easily integrated into single- or multi-process (e.g., MPI) applications.