diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index eed3675..5f030de 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -29,19 +29,29 @@ jobs:
       - uses: actions/checkout@v4
         with:
           fetch-depth: 0
+
       - name: Set up Python
         uses: actions/setup-python@v5
         with:
           python-version: "3.12"
+
+      - name: Run ollama server
+        env:
+          GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
+        run: uv run mknodes build
+
       - name: Install uv
         uses: yezz123/setup-uv@v4
+
       - name: Install dependencies
         run: |
           uv sync --all-extras
+
       - name: Build
         env:
           GEMINI_API_KEY: ${{ secrets.GEMINI_API_KEY }}
         run: uv run mknodes build
+
       - name: Upload artifact
         uses: actions/upload-pages-artifact@v3
         with:
diff --git a/src/jinjarope/resources/llm_filters.toml b/src/jinjarope/resources/llm_filters.toml
index 80cc6f2..8585539 100644
--- a/src/jinjarope/resources/llm_filters.toml
+++ b/src/jinjarope/resources/llm_filters.toml
@@ -7,17 +7,17 @@ required_packages = ["litellm"]
 
 [filters.llm_complete.examples.basic]
 template = """
-{{ "Describe how to install a package from PyPi" | llm_complete(model="gemini/gemini-1.5-flash") }}
+{{ "Describe how to install a package from PyPi" | llm_complete(model="ollama/smollm2") }}
 """
 
 [filters.llm_complete.examples.with_system_prompt]
 template = """
-{{ "What are the benefits of Python?" | llm_complete(model="gemini/gemini-1.5-flash", system_prompt="You are a helpful programming assistant.") }}
+{{ "What are the benefits of Python?" | llm_complete(model="ollama/smollm2", system_prompt="You are a helpful programming assistant.") }}
 """
 
 [filters.llm_complete.examples.with_context]
 template = """
-{{ "Explain its importance." | llm_complete(model="gemini/gemini-1.5-flash", context="We were discussing Python's role in data science.") }}
+{{ "Explain its importance." | llm_complete(model="ollama/smollm2", context="We were discussing Python's role in data science.") }}
 """
 
 [filters.llm_generate_image]