Build a generative AI Virtual Assistant with Amazon Bedrock, Langchain and Amazon Elasticache

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In this 15-minute session, we will discuss how you can use Amazon Bedrock, Langchain and Amazon ElastiCache services together to implement a generative AI (GenAI) chatbot. We will dive into two application patterns: they are chat history and messaging broker patterns. We will show you how ElastiCache for Redis simplifies the implementation of these application patterns by leveraging the built-in Redis data structures.

ElastiCache is a fully managed, Redis- and Memcached-compatible service delivering real-time, cost-optimized performance for modern applications.

ElastiCache scales to hundreds of millions operations per second with microsecond response time, and offers enterprise-grade security and reliability.

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#ElastiCache #Cache #InMemory #GenAI #chatbot #AWS #AmazonWebServices #CloudComputing #InMemorySnackables
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Is there an associated GitHub repository or Jupyter notebook that we could use alongside this? I'm sure a lot of developers are eager to start using bedrock in their applications, but there's a lot of setup overhead.

shawn.builds
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Thank you! The development of AI is very exciting. There will be some impressive inventions in the future.

gwghyiq
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Hi, I was looking for the credential_profile_name for integrating with langchain. Where can I able to get that?

SMSHRIYOKESHST
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Hi. I was looking forward to do an LLM powered RAG enabled Q & A System for my final year project. I could have used AWS Services like Kendra and BedRock for it. But as a student I couldn't afford the charges rn. Could you help me with that, any help would be appreciated 😊

nandhuskumar
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Can you share the GitHub for this project?

coolastronut