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@@ -101,6 +101,7 @@ An estimated 31% of LLM queries are potentially redundant ([source](https://arxi
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| 🧠 **Gemini Semantic Cache** - Build a semantic cache with Redis and Google Gemini |[](python-recipes/semantic-cache/00_semantic_caching_gemini.ipynb)|[](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-cache/00_semantic_caching_gemini.ipynb)|
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| 🦙 **Llama3.1 Doc2Cache** - Build a semantic cache using the Doc2Cache framework and Llama3.1 |[](python-recipes/semantic-cache/01_doc2cache_llama3_1.ipynb)|[](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-cache/01_doc2cache_llama3_1.ipynb)|
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| ⚙️ **Cache Optimization** - Use CacheThresholdOptimizer from [redis-retrieval-optimizer](https://pypi.org/project/redis-retrieval-optimizer/) to setup best cache config |[](python-recipes/semantic-cache/02_semantic_cache_optimization.ipynb)|[](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-cache/02_semantic_cache_optimization.ipynb)|
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| 🎯 **Context-Enabled Caching** - Context-aware semantic caching with Redis for enhanced LLM performance |[](python-recipes/semantic-cache/03_context_enabled_semantic_caching.ipynb)|[](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-cache/03_context_enabled_semantic_caching.ipynb)|
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### Semantic Routing
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Routing is a simple and effective way of preventing misuse with your AI application or for creating branching logic between data sources etc.
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