An agent that uses RAG to get recipes and generates images (agno-agi#3058)

## Summary

Describe key changes, mention related issues or motivation for the
changes.

(If applicable, issue number: #____)

## Type of change

- [ ] Bug fix
- [ ] New feature
- [ ] Breaking change
- [ ] Improvement
- [ ] Model update
- [ ] Other:

---

## Checklist

- [ ] Code complies with style guidelines
- [ ] Ran format/validation scripts (`./scripts/format.sh` and
`./scripts/validate.sh`)
- [ ] Self-review completed
- [ ] Documentation updated (comments, docstrings)
- [ ] Examples and guides: Relevant cookbook examples have been included
or updated (if applicable)
- [ ] Tested in clean environment
- [ ] Tests added/updated (if applicable)

---

## Additional Notes

Add any important context (deployment instructions, screenshots,
security considerations, etc.)

Author: Mustafa-Esoofally

cookbook/examples/agents/recipe_rag_image.py

@@ -0,0 +1,54 @@
+"""Example: Multi-Modal RAG & Image Agent
+
+An agent that uses Llama 4 for multi-modal RAG and OpenAITools to create a visual, step-by-step image manual for a recipe.
+
+Run: `pip install openai agno groq cohere` to install the dependencies
+"""
+
+from pathlib import Path
+
+from agno.agent import Agent
+from agno.embedder.cohere import CohereEmbedder
+from agno.knowledge.pdf_url import PDFUrlKnowledgeBase
+from agno.models.groq import Groq
+from agno.tools.openai import OpenAITools
+from agno.utils.media import download_image
+from agno.vectordb.pgvector import PgVector
+
+knowledge_base = PDFUrlKnowledgeBase(
+    urls=["https://agno-public.s3.amazonaws.com/recipes/ThaiRecipes.pdf"],
+    vector_db=PgVector(
+        db_url="postgresql+psycopg://ai:ai@localhost:5532/ai",
+        table_name="embed_vision_documents",
+        embedder=CohereEmbedder(
+            id="embed-v4.0",
+        ),
+    ),
+)
+
+knowledge_base.load()
+
+agent = Agent(
+    name="EmbedVisionRAGAgent",
+    model=Groq(id="meta-llama/llama-4-scout-17b-16e-instruct"),
+    tools=[OpenAITools()],
+    knowledge=knowledge_base,
+    instructions=[
+        "You are a specialized recipe assistant.",
+        "When asked for a recipe:",
+        "1. Search the knowledge base to retrieve the relevant recipe details.",
+        "2. Analyze the retrieved recipe steps carefully.",
+        "3. Use the `generate_image` tool to create a visual, step-by-step image manual for the recipe.",
+        "4. Present the recipe text clearly and mention that you have generated an accompanying image manual. Add instructions while generating the image.",
+    ],
+    markdown=True,
+    debug_mode=True,
+)
+
+agent.print_response(
+    "What is the recipe for a Thai curry?",
+)
+
+response = agent.run_response
+if response.images:
+    download_image(response.images[0].url, Path("tmp/recipe_image.png"))