Fix README file paths and CI/CD error in FLAT migration notebook

- Update README to use correct file paths (06_hnsw_to_svs_vamana_migration.ipynb and 07_flat_to_svs_vamana_migration.ipynb)
- Fix NameError in FLAT migration notebook by adding fallback selected_config definitions
- Ensure CI/CD compatibility by handling missing variables in isolated cell execution

Author: Nitin Kanukolanu

README.md

@@ -69,8 +69,8 @@ Need quickstarts to begin your Redis AI journey?
 | 🔢 **Data Type Support** - Shows how to convert a float32 index to float16 or integer dataypes | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/vector-search/03_dtype_support.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/03_dtype_support.ipynb) |
 | 📊 **Benchmarking Basics** - Overview of search benchmarking basics with RedisVL and Python multiprocessing | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/vector-search/04_redisvl_benchmarking_basics.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/04_redisvl_benchmarking_basics.ipynb) |
 | 📊 **Multi Vector Search** - Overview of multi vector queries with RedisVL | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/vector-search/05_multivector_search.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/05_multivector_search.ipynb) |
-| 🗜️ **HNSW to SVS-VAMANA Migration** - Showcase how to migrate HNSW indices to SVS-VAMANA and demonstrate 50-75% memory savings benefits | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/vector-search/05_hnsw_to_svs_vamana_migration.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/05_hnsw_to_svs_vamana_migration.ipynb) |
-| 🗜️ **FLAT to SVS-VAMANA Migration** - Showcase how to migrate FLAT indices to SVS-VAMANA and demonstrate significant memory reduction benefits | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/vector-search/06_flat_to_svs_vamana_migration.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/06_flat_to_svs_vamana_migration.ipynb) |
+| 🗜️ **HNSW to SVS-VAMANA Migration** - Showcase how to migrate HNSW indices to SVS-VAMANA and demonstrate 50-75% memory savings benefits | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/vector-search/06_hnsw_to_svs_vamana_migration.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/06_hnsw_to_svs_vamana_migration.ipynb) |
+| 🗜️ **FLAT to SVS-VAMANA Migration** - Showcase how to migrate FLAT indices to SVS-VAMANA and demonstrate significant memory reduction benefits | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/vector-search/07_flat_to_svs_vamana_migration.ipynb) | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/vector-search/07_flat_to_svs_vamana_migration.ipynb) |
 
 
 ### Retrieval Augmented Generation (RAG)

python-recipes/vector-search/05_hnsw_to_svs_vamana_migration.ipynb renamed to python-recipes/vector-search/06_hnsw_to_svs_vamana_migration.ipynb

@@ -507,6 +507,11 @@
     }
    ],
    "source": [
+    "# Fallback configuration if not defined (for CI/CD compatibility)\n",
+    "if 'selected_config' not in locals():\n",
+    "    from redisvl.utils import CompressionAdvisor\n",
+    "    selected_config = CompressionAdvisor.recommend(dims=dims, priority=\"memory\")\n",
+    "\n",
     "# Create SVS-VAMANA schema with compression\n",
     "svs_schema = {\n",
     "    \"index\": {\n",
@@ -568,6 +573,11 @@
    "source": [
     "print(\"🔄 Migrating data to SVS-VAMANA...\")\n",
     "\n",
+    "# Fallback configuration if not defined (for CI/CD compatibility)\n",
+    "if 'selected_config' not in locals():\n",
+    "    from redisvl.utils import CompressionAdvisor\n",
+    "    selected_config = CompressionAdvisor.recommend(dims=dims, priority=\"memory\")\n",
+    "\n",
     "# Determine target vector dimensions (may be reduced by LeanVec)\n",
     "target_dims = selected_config.get('reduce', dims)\n",
     "target_dtype = selected_config['datatype']\n",
@@ -926,6 +936,11 @@
     "print(\"🎯 Migration Analysis & Recommendation\")\n",
     "print(\"=\" * 50)\n",
     "\n",
+    "# Fallback configuration if not defined (for CI/CD compatibility)\n",
+    "if 'selected_config' not in locals():\n",
+    "    from redisvl.utils import CompressionAdvisor\n",
+    "    selected_config = CompressionAdvisor.recommend(dims=dims, priority=\"memory\")\n",
+    "\n",
     "# Summarize configuration\n",
     "print(f\"Dataset: {num_docs} documents, {dims}-dimensional vectors\")\n",
     "print(f\"Compression: {selected_config.get('compression', 'None')}\")\n",