Renamed, added badge (#17331)

Author: seldo

…rch_blueprint_for_content_creation.ipynb …search_assistant_for_blog_creation.ipynbdocs/docs/examples/agent/nvidia_document_research_blueprint_for_content_creation.ipynb renamed to docs/docs/examples/agent/nvidia_document_research_assistant_for_blog_creation.ipynb docs/docs/examples/agent/nvidia_document_research_blueprint_for_content_creation.ipynb renamed to docs/docs/examples/agent/nvidia_document_research_assistant_for_blog_creation.ipynb

@@ -6,6 +6,8 @@
    "source": [
     "# Document Research Assistant for Blog Creation\n",
     "\n",
+    "[![ Click here to deploy.](https://uohmivykqgnnbiouffke.supabase.co/storage/v1/object/public/landingpage/brevdeploynavy.svg)](https://console.brev.dev/launchable/deploy?launchableID=env-2qRrBuBdUGzzauhql87XCd7U1wR)\n",
+    "\n",
     "In this notebook, you will use NVIDIA NIM Microservices for the LLM, llama-3.3-70b, to generate a report on a given topic. You will also use a NIM for an NVIDIA text embedding model, nv-embedqa-e5-v5. Given a set of documents, LlamaIndex will create an Index which it can run queries against. \n",
     "\n",
     "You can get started by leveraging NVIDIA API Catalog and call a hosted model's NIM API Endpoint. Once you familiarize yourself with this blueprint, you may want to self-host models with NIM Microservices.\n",
@@ -20,7 +22,7 @@
     "5. Performs Quality Assurance: A critic agent reviews the content for accuracy, coherence, and completeness, determining if revisions are necessary.\n",
     "6. Iterative Refinement: If improvements are needed, the workflow repeats by generating additional questions and gathering more information until the desired quality is reached.\n",
     "\n",
-    "This workflow combines modularity, automation, and iterative refinement to ensure the output meets the highest standards of quality."
+    "This workflow combines modularity, automation, and iterative refinement to ensure the output meets the highest standards of quality. "
    ]
   },
   {