diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index b030dafa5a..2857fb493f 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -191,7 +191,7 @@ jobs:
         path: dist
 
     - name: Install awkward and awkward-cpp wheels
-      run: python -m pip install dist/awkward*.whl
+      run: python -m pip install dist/awkward*.whl --force-reinstall --no-deps
 
     - name: Generate build files
       run: pipx run nox -s prepare -- --docs --headers
@@ -215,7 +215,7 @@ jobs:
         echo "DOCS_VERSION=main" >> $GITHUB_ENV
 
     - name: Generate Python documentation
-      run: sphinx-build -M html . _build/
+      run: sphinx-build -M html . _build/ -T
       working-directory: docs
 
     - name: Upload docs artefact
diff --git a/docs/requirements.txt b/docs/requirements.txt
index 8e69ba43d4..96a284a9af 100644
--- a/docs/requirements.txt
+++ b/docs/requirements.txt
@@ -22,6 +22,7 @@ fsspec
 s3fs
 h5py
 matplotlib
+awkward
 uproot
 uproot3
 jax>=0.2.7;python_version>="3.6" and sys_platform != "win32"
diff --git a/docs/user-guide/how-to-convert-rdataframe.md b/docs/user-guide/how-to-convert-rdataframe.md
index 353b3cee5f..d088df4dff 100644
--- a/docs/user-guide/how-to-convert-rdataframe.md
+++ b/docs/user-guide/how-to-convert-rdataframe.md
@@ -58,7 +58,7 @@ The dictionary key defines a column name in RDataFrame.
 df = ak.to_rdataframe({"x": array_x, "y": array_y, "z": array_z})
 ```
 
-The {func} `ak.to_rdataframe` function presents a generated on demand Awkward Array view as an `RDataFrame` source. There is a small overhead of generating Awkward RDataSource C++ code. This operation does not execute the `RDataFrame` event loop. The array data are not copied.
+The {func}`ak.to_rdataframe` function presents a generated-on-demand Awkward Array view as an `RDataFrame` source. There is a small overhead of generating Awkward RDataSource C++ code. This operation does not execute the `RDataFrame` event loop. The array data are not copied.
 
 The column readers are generated based on the run-time type of the views. Here is a description of the `RDataFrame` columns:
 
@@ -74,7 +74,7 @@ Awkward Arrays are dynamically typed, so in a C++ context, the type name is hash
 From RDataFrame to Awkward
 --------------------------
 
-The function for `RDataFrame`  → Awkward conversion is {func}`ak.from_rdataframe`. The argument to this function requires a tuple of strings that are the `RDataFrame` column names. This function always returns
+The function for `RDataFrame`  → Awkward conversion is {func}`ak.from_rdataframe`. The argument to this function accepts a tuple of strings that are the `RDataFrame` column names. By default this function returns
 
    * {class}`ak.Array`
 
@@ -91,3 +91,36 @@ array = ak.from_rdataframe(
 )
 array
 ```
+
+When `RDataFrame` runs multi-threaded event loops, the entry processing order is not guaranteed:
+
+```{code-cell} ipython3
+ROOT.ROOT.EnableImplicitMT()
+```
+
++++
+
+Let's recreate the dataframe, to reflect the new multi-threading mode
+
+```{code-cell} ipython3
+df = ak.to_rdataframe({"x": array_x, "y": array_y, "z": array_z})
+```
+
++++
+
+If the `keep_order` parameter set to `True`, the columns will keep order after filtering:
+
+```{code-cell} ipython3
+df = df.Filter("y % 2 == 0")
+
+array = ak.from_rdataframe(
+    df,
+    columns=(
+        "x",
+        "y",
+        "z",
+    ),
+    keep_order=True,
+)
+array
+```