Examples of hnsw and flat index migration to svs-vamana

Author: Nitin Kanukolanu

README.md

@@ -68,6 +68,8 @@ Need quickstarts to begin your Redis AI journey?
 | 🔄 **Hybrid Search** - Hybrid search techniques with Redis (BM25 + Vector) | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/vector-search/02_hybrid_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/02_hybrid_search.ipynb) |
 | 🔢 **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) |
+| 🗜️ **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) |
 
 
 ### Retrieval Augmented Generation (RAG)