Add conversational rag tutorial (#420)

* Initial adding of the file

* Rename file

* PR comments and adapt to make a tutorial

* Update link

* Add to index.toml

* Update install box

* Comment out draw call

* Formatting and wording changes

* Try to fix tests

* Change name

* Also update run_tutorials

* Use different syntax

* Use yes Q

* Add missing dep

---------

Co-authored-by: bilgeyucel <[email protected]>

Author: sjrl

.github/workflows/nightly.yml

@@ -67,8 +67,15 @@ jobs:
 
       - name: Run the converted notebook
         run: |
-           # We add a prompt to confirm any user inputs in the HiTL notebook 
-           yes y | python ./tutorials/${{ matrix.notebook }}.py
+          NOTEBOOK="./tutorials/${{ matrix.notebook }}.py"
+          if [ "${{ matrix.notebook }}" = "47_Human_in_the_Loop_Agent" ]; then
+            # We add a prompt to confirm any user inputs in the HiTL notebook
+            yes y | python "$NOTEBOOK"
+          elif [ "${{ matrix.notebook }}" = "48_Conversational_RAG" ]; then
+            yes Q | python "$NOTEBOOK"
+          else
+            python "$NOTEBOOK"
+          fi
 
       - name: Send Failure to Datadog
         if: failure()

.github/workflows/run_tutorials.yml

@@ -98,5 +98,12 @@ jobs:
 
       - name: Run the converted notebook
         run: |
-           # We add a prompt to confirm any user inputs in the HiTL notebook 
-           yes y | python ./tutorials/${{ matrix.notebook }}.py
+          NOTEBOOK="./tutorials/${{ matrix.notebook }}.py"
+          if [ "${{ matrix.notebook }}" = "47_Human_in_the_Loop_Agent" ]; then
+            # We add a prompt to confirm any user inputs in the HiTL notebook
+            yes y | python "$NOTEBOOK"
+          elif [ "${{ matrix.notebook }}" = "48_Conversational_RAG" ]; then
+            yes Q | python "$NOTEBOOK"
+          else
+            python "$NOTEBOOK"
+          fi

index.toml

@@ -159,7 +159,6 @@ aliases = []
 completion_time = "20 min"
 created_at = 2024-03-05
 dependencies = ["sentence-transformers>=4.1.0", "gradio"]
-featured = true
 
 [[tutorial]]
 title = "Query Classification with TransformersTextRouter and TransformersZeroShotTextRouter"
@@ -252,3 +251,15 @@ completion_time = "20 min"
 created_at = 2025-10-30
 dependencies = ["haystack-experimental>=0.14.2"]
 featured = true
+
+[[tutorial]]
+title = "Conversational RAG Agent using InMemoryChatMessageStore"
+description = "Learn how to use conversational history for RAG to enable multi-turn conversations grounded in documents"
+level = "advanced"
+weight = 9
+notebook = "48_Conversational_RAG.ipynb"
+aliases = []
+completion_time = "20 min"
+created_at = 2025-12-30
+dependencies = ["haystack-experimental>=0.15.0", "datasets"]
+featured = true