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docs: Add shopping AI agent demo featuring Redis and Langgraph (#122)
Add github repository link to demo showcasing agentic-ai powered shopping assistant. Features two variations: - Implementation with OpenAI - Implementation with AWS Bedrock
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README.md

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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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| [Memory-Aware Alexa Assistant](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 contextual responses 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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| [From Postgres to Redis Cloud with RDI](https://github.com/redis-developer/speedup-slowapp-with-redis-di) | This demo shows how to deploy RDI on Kubernetes running locally so it can be used to build a moving/transformation data pipeline to enable data on Redis Cloud. The source database lives on-premises, and the data is movied and transformed to Redis Cloud. |
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| [Virtual Banking Assistant with Semantic Router](https://github.com/redis-developer/banking-agent-semantic-routing-demo) | A Banking Agent demo that uses semantic routing to route user queries to right banking tool. (Eg: Credit Card Recommendation, Loan EMI calculation, Banking FAQ etc) |
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| [Virtual Banking Assistant with Semantic Router](https://github.com/redis-developer/banking-agent-semantic-routing-demo) | A Banking Agent demo that uses semantic routing to route user queries to right banking tool. (Eg: Credit Card Recommendation, Loan EMI calculation, Banking FAQ etc)
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| [Shopping AI Agent](https://github.com/redis-developer/shopping-ai-agent-langgraph-js-demo) | An Agentic AI grocery-shopping platform demo that combines Redis's speed with LangGraph's workflow orchestration. Get personalized recipe recommendations, smart product suggestions, and lightning-fast responses through semantic caching. |
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