diff --git a/README.md b/README.md
index 1b320ef50b..612f864e1c 100644
--- a/README.md
+++ b/README.md
@@ -14,39 +14,7 @@ See the License for the specific language governing permissions and
 limitations under the License.
 -->
 
-## `adapters` Library
-
-This branch contains the development version of `adapters`, the next-generation library for parameter-efficient and modular transfer learning.
-
-> **Note**: For the stable version of `adapter-transformers`, please switch to the [master branch of the repo](https://github.com/adapter-hub/adapter-transformers).
-
-### Changes compared to `adapter-transformers`
-
-- `adapters` is a standalone package, using `transformers` as an external dependency but not patching it directly
-- All adapter-related classes now are imported via `adapters` namespace, e.g.:
-    ```python
-    from adapters import BertAdapterModel
-    # ...
-    ```
-- Built-in HF model classes can be adapted for usage with adapters via a wrapper method, e.g.:
-    ```python
-    import adapters
-    from transformers import BertModel
-
-    model = BertModel.from_pretrained("bert-base-uncased")
-    adapters.init(model)
-    ```
-
-Features not (yet) working:
-
-- Loading model + adapter checkpoints using HF classes
-- Using Transformers pipelines with adapters
-- Using HF language modeling classes with invertible adapters
-
-## Documentation
-To read the documentation of _Adapters_, follow the steps in [docs/README.md](docs/README.md). Currently, the documentation is **not** yet available from https://docs.adapterhub.ml/.
-
----
+> **Note**: This repository holds the codebase of the _Adapters_ library, which has replaced `adapter-transformers`. For the legacy codebase, go to: https://github.com/adapter-hub/adapter-transformers-legacy.
 
 <p align="center">
 <img style="vertical-align:middle" src="https://raw.githubusercontent.com/Adapter-Hub/adapter-transformers/master/adapter_docs/logo.png" />
diff --git a/docs/_static/custom.css b/docs/_static/custom.css
index 680ab48e88..e4ba5749a4 100644
--- a/docs/_static/custom.css
+++ b/docs/_static/custom.css
@@ -31,3 +31,8 @@ a {
 .wy-side-scroll {
     padding-bottom: 1em;
 }
+
+/* override table no-wrap */
+.wy-table-responsive table td, .wy-table-responsive table th {
+    white-space: normal;
+}
diff --git a/docs/conf.py b/docs/conf.py
index 83e1403c6c..5f73a52d99 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -19,9 +19,9 @@
 
 # -- Project information -----------------------------------------------------
 
-project = "adapters"
-copyright = "2020-2022, Adapter-Hub Team"
-author = "Adapter-Hub Team"
+project = "AdapterHub"
+copyright = "2020-2023, AdapterHub Team"
+author = "AdapterHub Team"
 
 docs_versions = [
     "adapters1.1.1",
diff --git a/docs/index.rst b/docs/index.rst
index 323913cf7b..fdddf228ec 100644
--- a/docs/index.rst
+++ b/docs/index.rst
@@ -6,19 +6,29 @@
 AdapterHub Documentation
 ================================================
 
+.. note::
+   This documentation is based on the new *Adapters* library.
+
+   The documentation based on the legacy *adapter-transformers* library can be found at: `https://docs-legacy.adapterhub.ml <https://docs-legacy.adapterhub.ml>`_.
+
 *AdapterHub* is a framework simplifying the integration, training and usage of adapters and other efficient fine-tuning methods for Transformer-based language models.
 For a full list of currently implemented methods, see the `table in our repository <https://github.com/adapter-hub/adapters#implemented-methods>`_.
 
 The framework consists of two main components:
 
-- ``adapters``, an extension of Hugging Face's `Transformers <https://huggingface.co/transformers/>`_ library that adds adapter components to transformer models
+.. list-table::
+   :widths: 50 50
+   :header-rows: 1
 
-- `The Hub <https://adapterhub.ml>`_, a central repository collecting pre-trained adapter modules
+   * - `Adapters <https://github.com/adapter-hub/adapters>`_
+     - `AdapterHub.ml <https://adapterhub.ml/explore>`_
+   * - an add-on to Hugging Face's `Transformers <https://huggingface.co/transformers/>`_ library that adds adapters into transformer models
+     - a central collection of pre-trained adapter modules
 
 Currently, we support the PyTorch versions of all models as listed on the `Model Overview <model_overview.html>`_ page.
 
 .. toctree::
-   :maxdepth: 2
+   :maxdepth: 1
    :caption: Getting Started
 
    installation
@@ -79,7 +89,7 @@ Currently, we support the PyTorch versions of all models as listed on the `Model
    classes/models/xmod
 
 .. toctree::
-   :maxdepth: 2
+   :maxdepth: 1
    :caption: Adapter-Related Classes
 
    classes/adapter_config