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Adds SVS vamana migration examples from HNSW and Flat via notebooks #107

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Oct 31, 2025
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Adds SVS vamana migration examples from HNSW and Flat via notebooks #107

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- Example notebooks
Oct 17, 2025
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nkanu17 Oct 17, 2025
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Update notebooks with:
nkanu17 Oct 22, 2025
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4 changes: 3 additions & 1 deletion .github/ignore-notebooks.txt
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Expand Up @@ -7,4 +7,6 @@
02_semantic_cache_optimization
spring_ai_redis_rag.ipynb
00_litellm_proxy_redis.ipynb
04_redisvl_benchmarking_basics.ipynb
04_redisvl_benchmarking_basics.ipynb
06_hnsw_to_svs_vamana_migration.ipynb
07_flat_to_svs_vamana_migration.ipynb
2 changes: 2 additions & 0 deletions README.md
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Time box for now initial notes:

  • Align redis setup with other examples. We want that to be pretty standard. Even if it's not perfect if we do overhaul it'll become a copy/paste job for an AI task. See 01_redisvl as example for the header content and how we start instances in colab
  • Colab is the typical default. This example might be an exception given it is a little more advanced but click around with one of those examples to get a feel.
  • Use redisvl vectorizers instead of default sentence transformer where possible.
  • ran into an error initially because my redis-py version was at 5.3.1 => fixed by upgrading to 6.4.0 please add a note for this at the top too since folks will likely run into an issue

Testing notes:

  • installed direct from your branch %pip install -e git+https://github.com/redis/redis-vl-python.git@feat/RAAE-1094-Add-SVS-Vamana-implementation-with-compression-enums-and-validation#egg=redisvl
  • imports run successfully
  • index create successfully 🙌

Original file line number Diff line number Diff line change
Expand Up @@ -69,6 +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 | [![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 | [![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)
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