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rbs333 merged 1 commit into from
Jun 24, 2025
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update imports and readme #93

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5 changes: 3 additions & 2 deletions README.md
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Expand Up @@ -98,15 +98,15 @@ An estimated 31% of LLM queries are potentially redundant ([source](https://arxi
| --- | --- | --- |
| 🧠 **Gemini Semantic Cache** - Build a semantic cache with Redis and Google Gemini | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/semantic-cache/00_semantic_caching_gemini.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/semantic-cache/00_semantic_caching_gemini.ipynb) |
| 🦙 **Llama3.1 Doc2Cache** - Build a semantic cache using the Doc2Cache framework and Llama3.1 | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/semantic-cache/01_doc2cache_llama3_1.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/semantic-cache/01_doc2cache_llama3_1.ipynb) |
| ⚙️ **Cache Optimization** - Use CacheThresholdOptimizer from redisvl to setup best cache config | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/semantic-cache/02_semantic_cache_optimization.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/semantic-cache/02_semantic_cache_optimization.ipynb) |
| ⚙️ **Cache Optimization** - Use CacheThresholdOptimizer from [redis-retrieval-optimizer](https://pypi.org/project/redis-retrieval-optimizer/) to setup best cache config | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/semantic-cache/02_semantic_cache_optimization.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/semantic-cache/02_semantic_cache_optimization.ipynb) |

### Semantic Routing
Routing is a simple and effective way of preventing misuse with your AI application or for creating branching logic between data sources etc.

| Recipe | GitHub | Google Colab |
| --- | --- | --- |
| 🔀 **Basic Routing** - Simple examples of how to build an allow/block list router in addition to a multi-topic router | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/semantic-router/00_semantic_routing.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/semantic-router/00_semantic_routing.ipynb) |
| ⚙️ **Router Optimization** - Use RouterThresholdOptimizer from redisvl to setup best router config | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/semantic-router/01_routing_optimization.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/semantic-router/01_routing_optimization.ipynb) |
| ⚙️ **Router Optimization** - Use RouterThresholdOptimizer from [redis-retrieval-optimizer](https://pypi.org/project/redis-retrieval-optimizer/) to setup best router config | [![Open In GitHub](https://img.shields.io/badge/View-GitHub-green)](python-recipes/semantic-router/01_routing_optimization.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/semantic-router/01_routing_optimization.ipynb) |


### AI Gateways
Expand Down Expand Up @@ -203,6 +203,7 @@ Redis integrates with many different players in the AI ecosystem. Here's a curat
- [Benchmarking results for vector databases](https://redis.io/blog/benchmarking-results-for-vector-databases/) - Benchmarking results for vector databases, including Redis and 7 other Vector Database players.
- [Redis Vector Library Docs](https://docs.redisvl.com)
- [Redis Vector Search API Docs](https://redis.io/docs/interact/search-and-query/advanced-concepts/vectors/) - Official Redis literature for Vector Similarity Search.
- [Redis Retrieval Optimizer](https://pypi.org/project/redis-retrieval-optimizer/) - Library for optimizing index, embedding, and search method usage within Redis.

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