llama32 notebook

README.md

@@ -64,6 +64,7 @@ For more examples, you may also find our [Blog](https://haystack.deepset.ai/blog
 | Conversational RAG using Memory | <a href="https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/conversational_rag_using_memory.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>|
 | Evaluating RAG Pipelines with EvaluationHarness | <a href="https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/rag_eval_harness.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>|
 | Define & Run Tools | <a href="https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/tools_support.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>|
+| Agentic RAG with Llama 3.2 3B | <a href="https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/llama32_agentic_rag.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>|
 | Cohere for Multilingual QA (Haystack 1.x)| <a href="https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/haystack-1.x/cohere-for-multilingual-qa.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>|
 | GPT-4 and Weaviate for Custom Documentation QA (Haystack 1.x)| <a href="https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/haystack-1.x/gpt4-weaviate-custom-documentation-qa.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>|
 | Whisper Transcriber and Weaviate for YouTube video QA (Haystack 1.x)| <a href="https://colab.research.google.com/github/deepset-ai/haystack-cookbook/blob/main/notebooks/haystack-1.x/whisper-and-weaviate-for-youtube-rag.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>|

index.toml

@@ -249,3 +249,9 @@ topics = ["Function Calling", "Chat", "Agents"]
 experimental = true
 new = true
 discuss = "https://github.com/deepset-ai/haystack-experimental/discussions/98"
+
+[[cookbook]]
+title = "Agentic RAG with Llama 3.2 3B"
+notebook = "llama32_agentic_rag.ipynb"
+topics = ["RAG", "Agents", "Web-QA"]
+new = true