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| Full-Featured Agent Architecture | Agents | Comprehensive agent implementation with advanced features. |[Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/agents/02_full_featured_agent.ipynb)|
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| Optimize semantic cache threshold with RedisVL | Semantic Cache | Performance optimization for semantic caching systems. |[Open in Colab](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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| Simple examples of how to build an allow/block list router in addition to a multi-topic router | Semantic Router | Basic routing patterns and access control mechanisms. |[Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-router/00_semantic_routing.ipynb)|
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| Use RouterThresholdOptimizer from redisvl to setup best router config | Semantic Router | Router configuration optimization using RedisVL. |[Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-router/01_routing_optimization.ipynb)|
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| Use `RouterThresholdOptimizer` from RedisVL to setup best router config | Semantic Router | Router configuration optimization using RedisVL. |[Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/semantic-router/01_routing_optimization.ipynb)|
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| Facial recognition | Computer Vision | Face matching using Facenet and RedisVL. |[Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/computer-vision/00_facial_recognition_facenet.ipynb)|
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| Content filtering with RedisVL | Recommendation Systems | Introduction to content-based filtering. |[Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/recommendation-systems/00_content_filtering.ipynb)|
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| Collaborative filtering with RedisVL | Recommendation Systems | Intro to collaborative filtering with RedisVL. |[Open in Colab](https://colab.research.google.com/github/redis-developer/redis-ai-resources/blob/main/python-recipes/recommendation-systems/01_collaborative_filtering.ipynb)|
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