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* renames notebook
* adds example demonstrating integer vector datatype
* removes version check until 0.4.0 is released
* updates notebook links in README
* shows how to convert index to use int8 vectors
* updates redis docker image
* fixes execution count error
Copy file name to clipboardExpand all lines: README.md
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@@ -46,7 +46,7 @@ Need quickstarts to begin your Redis AI journey? **Start here.**
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|[/vector-search/00_redispy.ipynb](/python-recipes/vector-search/00_redispy.ipynb)| Vector search with Redis python client |
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|[/vector-search/01_redisvl.ipynb](/python-recipes/vector-search/01_redisvl.ipynb)| Vector search with Redis Vector Library |
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|[/vector-search/02_hybrid_search.ipynb](/python-recipes/vector-search/02_hybrid_search.ipynb)| Hybrid search techniques with Redis (BM25 + Vector) |
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|[/vector-search/03_float16_support.ipynb](/python-recipes/vector-search/03_float16_support.ipynb)| Shows how to convert a float32 index to use float16 |
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|[/vector-search/03_dtype_support.ipynb](/python-recipes/vector-search/03_dtype_support.ipynb)| Shows how to convert a float32 index to float16 or integer dataypes|
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### Retrieval Augmented Generation (RAG)
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| --- | --- |
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|[/recommendation-systems/00_content_filtering.ipynb](python-recipes/recommendation-systems/00_content_filtering.ipynb)| Intro content filtering example with redisvl |
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|[/recommendation-systems/01_collaborative_filtering.ipynb](python-recipes/recommendation-systems/01_collaborative_filtering.ipynb)| Intro collaborative filtering example with redisvl |
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|[/recommendation-systems/02_two_towers.ipynb](python-recipes/recommendation-systems/02_two_towers.ipynb)| Intro deep learning two tower example with redisvl |
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