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|[Redis RAG Workbench](https://github.com/redis-developer/redis-rag-workbench)| Interactive demo to build a RAG-based chatbot over a user-uploaded PDF. Toggle different settings and configurations to improve chatbot performance and quality. Utilizes RedisVL, LangChain, RAGAs, and more. |
|[ArXiv Search](https://github.com/redis-developer/redis-arxiv-search)| Full stack implementation of Redis with React FE |
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|[Product Search](https://github.com/redis-developer/redis-product-search)| Vector search with Redis Stack and Redis Enterprise |
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|[ArxivChatGuru](https://github.com/redis-developer/ArxivChatGuru)| Streamlit demo of RAG over Arxiv documents with Redis & OpenAI |
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|[Redis Movies Searcher](https://github.com/redis-developer/redis-movies-searcher)| Demo of hybrid search using Java, Spring Boot, and Redis OM |
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|[My Jarvis Alexa Skill](https://github.com/redis-developer/my-jarvis-alexa-skill)| Complete example of an Alexa skill that uses Redis Agent Memory Server to provide contextual, memory-enabled responses to users. Utilizes Agent Memory Server, LangChain4J, Terraform, and AWS. It showcases how to implement context engineering to dynamically leverage RAG, tools, short-term and long-term memories. |
|[Redis RAG Workbench](https://github.com/redis-developer/redis-rag-workbench)| Interactive demo to build a RAG-based chatbot over a user-uploaded PDF. Toggle different settings and configurations to improve chatbot performance and quality. Utilizes RedisVL, LangChain, RAGAs, and more. |
|[ArXiv Search](https://github.com/redis-developer/redis-arxiv-search)| Full stack implementation of Redis with React FE |
51
+
|[Product Search](https://github.com/redis-developer/redis-product-search)| Vector search with Redis Stack and Redis Enterprise |
52
+
|[ArxivChatGuru](https://github.com/redis-developer/ArxivChatGuru)| Streamlit demo of RAG over Arxiv documents with Redis & OpenAI |
53
+
|[Redis Movies Searcher](https://github.com/redis-developer/redis-movies-searcher)| Demo of hybrid search using Java, Spring Boot, and Redis OM |
54
+
|[My Jarvis Alexa Skill](https://github.com/redis-developer/my-jarvis-alexa-skill)| Complete example of an Alexa skill that can recall previously stored conversations and memories to provide contextualresponses to users. Utilizes Redis Agent Memory Server, LangChain4J, Terraform, and AWS. It showcases how to implement context engineering to dynamically leverage RAG, tools, short-term and long-term memories. |
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