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18 changes: 9 additions & 9 deletions README.md
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Expand Up @@ -162,15 +162,15 @@ A set of Java recipes can be found under [/java-recipes](/java-recipes/README.md

#### Notebooks

| Notebook | Description |
|------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|
| [notebooks/RAG/spring_ai_redis_rag.ipynb](./java-recipes/notebooks/RAG/spring_ai_redis_rag.ipynb) | Demonstrates building a RAG-ba sed beer recommendation chatbot using Spring AI and Redis as the vector store |
| [RAG/spring_ai_redis_rag.ipynb](./RAG/spring_ai_redis_rag.ipynb) | Demonstrates building a RAG-based beer recommendation chatbot using Spring AI and Redis as the vector store |
| [semantic-routing/1_semantic_classification.ipynb](./semantic-routing/1_semantic_classification.ipynb) | Demonstrates how to perform text classification with vector search (RedisVL) instead of LLMs |
| [semantic-routing/2_semantic_tool_calling.ipynb](./semantic-routing/2_semantic_tool_calling.ipynb) | Demonstrates how to perform tool selection with vector search (RedisVL) instead of LLMs |
| [semantic-routing/3_semantic_guardrails.ipynb](./semantic-routing/3_semantic_guardrails.ipynb) | Demonstrates how to implement guardrails with vector search (RedisVL) |
| [semantic-caching/1_pre_generated_semantic_caching.ipynb](./semantic-caching/1_pre_generated_semantic_caching.ipynb) | Demonstrates how to perform pre generated semantic caching with RedisVL |
| [semantic-caching/2_semantic_caching_with_langcache.ipynb](./semantic-caching/2_semantic_caching_with_langcache.ipynb) | Demonstrates how to perform pre generated semantic caching with LangCache |
| Notebook | Description |
|-----------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|
| [notebooks/RAG/spring_ai_redis_rag.ipynb](./java-recipes/notebooks/RAG/spring_ai_redis_rag.ipynb) | Demonstrates building a RAG-ba sed beer recommendation chatbot using Spring AI and Redis as the vector store |
| [RAG/spring_ai_redis_rag.ipynb](./java-recipes/notebooks/RAG/spring_ai_redis_rag.ipynb) | Demonstrates building a RAG-based beer recommendation chatbot using Spring AI and Redis as the vector store |
| [semantic-routing/1_semantic_classification.ipynb](./java-recipes/notebooks/semantic-routing/1_semantic_classification.ipynb) | Demonstrates how to perform text classification with vector search (RedisVL) instead of LLMs |
| [semantic-routing/2_semantic_tool_calling.ipynb](./java-recipes/notebooks/semantic-routing/2_semantic_tool_calling.ipynb) | Demonstrates how to perform tool selection with vector search (RedisVL) instead of LLMs |
| [semantic-routing/3_semantic_guardrails.ipynb](./java-recipes/notebooks/semantic-routing/3_semantic_guardrails.ipynb) | Demonstrates how to implement guardrails with vector search (RedisVL) |
| [semantic-caching/1_pre_generated_semantic_caching.ipynb](./java-recipes/notebooks/semantic-caching/1_pre_generated_semantic_caching.ipynb) | Demonstrates how to perform pre generated semantic caching with RedisVL |
| [semantic-caching/2_semantic_caching_with_langcache.ipynb](./java-recipes/notebooks/semantic-caching/2_semantic_caching_with_langcache.ipynb) | Demonstrates how to perform pre generated semantic caching with LangCache |


#### Applications
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16 changes: 8 additions & 8 deletions java-recipes/README.md
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Expand Up @@ -26,14 +26,14 @@ There are two types of Java Recipes: Notebooks and Applications. Notebooks are i

Notebooks require a Jupyter Notebook environment to run. Check out the [Setup Instructions & Implementation Details](./notebooks/README.md) for more details on how to set up your environment.

| Notebook | Description |
|------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------|
| [RAG/spring_ai_redis_rag.ipynb](./RAG/spring_ai_redis_rag.ipynb) | Demonstrates building a RAG-based beer recommendation chatbot using Spring AI and Redis as the vector store |
| [semantic-routing/1_semantic_classification.ipynb](./semantic-routing/1_semantic_classification.ipynb) | Demonstrates how to perform text classification with vector search (RedisVL) instead of LLMs |
| [semantic-routing/2_semantic_tool_calling.ipynb](./semantic-routing/2_semantic_tool_calling.ipynb) | Demonstrates how to perform tool selection with vector search (RedisVL) instead of LLMs |
| [semantic-routing/3_semantic_guardrails.ipynb](./semantic-routing/3_semantic_guardrails.ipynb) | Demonstrates how to implement guardrails with vector search (RedisVL) |
| [semantic-caching/1_pre_generated_semantic_caching.ipynb](./semantic-caching/1_pre_generated_semantic_caching.ipynb) | Demonstrates how to perform pre generated semantic caching with RedisVL |
| [semantic-caching/2_semantic_caching_with_langcache.ipynb](./semantic-caching/2_semantic_caching_with_langcache.ipynb) | Demonstrates how to perform pre generated semantic caching with LangCache |
| Notebook | Description |
|----------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------|
| [RAG/spring_ai_redis_rag.ipynb](./notebooks/RAG/spring_ai_redis_rag.ipynb) | Demonstrates building a RAG-based beer recommendation chatbot using Spring AI and Redis as the vector store |
| [semantic-routing/1_semantic_classification.ipynb](./notebooks/semantic-routing/1_semantic_classification.ipynb) | Demonstrates how to perform text classification with vector search (RedisVL) instead of LLMs |
| [semantic-routing/2_semantic_tool_calling.ipynb](./notebooks/semantic-routing/2_semantic_tool_calling.ipynb) | Demonstrates how to perform tool selection with vector search (RedisVL) instead of LLMs |
| [semantic-routing/3_semantic_guardrails.ipynb](./notebooks/semantic-routing/3_semantic_guardrails.ipynb) | Demonstrates how to implement guardrails with vector search (RedisVL) |
| [semantic-caching/1_pre_generated_semantic_caching.ipynb](./notebooks/semantic-caching/1_pre_generated_semantic_caching.ipynb) | Demonstrates how to perform pre generated semantic caching with RedisVL |
| [semantic-caching/2_semantic_caching_with_langcache.ipynb](./notebooks/semantic-caching/2_semantic_caching_with_langcache.ipynb) | Demonstrates how to perform pre generated semantic caching with LangCache |

## Applications

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