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

Рет қаралды 15,165

9 ай бұрын

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.
Learn more about ElastiCache: go.aws/3s06Sob
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#ElastiCache #Cache #InMemory #GenAI #chatbot #AWS #AmazonWebServices #CloudComputing #InMemorySnackables

Пікірлер: 24

@shawn.builds 5 ай бұрын

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.

@daughterofarevolutionary-s4376 9 ай бұрын

Thank you!!😊

@user-gw6gh4yi4q 7 ай бұрын

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

@amazonwebservices 7 ай бұрын

We're so glad you like it! 😀

@SMSHRIYOKESHST 8 ай бұрын

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

@awssupport 8 ай бұрын

Hi Shriyokesh, I have taken some steps to communicate your concern to the appropriate team for awareness. Some options you may find useful to get assistance are detailed in this article: go.aws/get-help. Additionally, if you would like to post and view posts from our AWS industry experts you may do so here: go.aws/aws-repost. They have lots of tools and resources to help you! 📚 ^DC

@nandhuskumar5928 8 ай бұрын

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 😊

@awssupport 8 ай бұрын

Hi, Nandhu! 😊 We have a great program to assist students looking to learn our services. Check out our AWS Educate page for more info: go.aws/3QoW78a. You can also contact the team directly here: go.aws/contact-educate-. ℹ️ ^RW

@nandhuskumar5928 8 ай бұрын

@@awssupport Thanks 😊

@coolastronut 9 ай бұрын

Can you share the GitHub for this project?

@awssupport 9 ай бұрын

Hello, Hussain! I've reached out internally to our content owner, requesting if the GitHub for this project can be shared. If we hear back we will respond here with an update. ☁️ ^RN

@coolastronut 9 ай бұрын

@@awssupport thank you, appreciated!

@awssupport 8 ай бұрын

Hey Hussain, I wanted to reconnect and provide the GitHub link that our team shared with us: go.aws/3tNFXwe. Appreciate your patience, happy cloud computing! ☁️ ^RN

@coolastronut 8 ай бұрын

@@awssupport thanks for sharing. Who can I generally reach out to for Bedrock related questions?

@awssupport 8 ай бұрын

Thank you for your interest in Amazon Bedrock, Hussain. For information regarding the service, you can review the FAQs here: go.aws/40i3kKI. ⬅️ Alternatively, can reach out via our re:Post platform for expert support: go.aws/aws-repost. 📝 ^AM

@estevegraells 5 ай бұрын

Sound is terrible!!

@awssupport 5 ай бұрын

Hello, I appreciate you highlighting the audio issues you experienced with our video. I've passed this on to the appropriate teams for further review. Feel free to share your feedback directly to our Support teams anytime using these options: go.aws/feedback. ☁️ ^RN