Build and Deploy LLM Application in AWS Lambda - BedRock - LangChain

Building and deploying a Large Language Model (LLM) application on AWS Lambda, leveraging the power of BedRock and LangChain. We explore how to create a serverless LLM chain application that allows users to ask natural language questions.
⭐️ Contents ⭐️
00:00 Introduction
1:57 Bedrock and Lambda Service
4:23 Create Lambda Function
8:04 Deployment and Test
9:17 Create and Add Custom Lambda Layer
16:47 Test
17:29 Summary and Conclusion
📚 Resources 📚
▸ ARN for popular packages: api.klayers.cloud/api/v2/p3.1...
▸ Amazon ECR Public Gallery - SAM : gallery.ecr.aws/sam/build-pyt...
▸ Official Documentation: aws.amazon.com/blogs/compute/...
▸ Docker: docs.docker.com/desktop/insta...
▸ Article and Code: / build-and-deploy-llm-a...
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[@user-ht5ev7il3h]

Please do more on AWS Bedrock to develop on RAG applications......your explanation is simple and effective.......stay motivated and upload more videos about LLM

[@AboniaSojasingarayar]

Thanks for your kind words! Sure I will do it.

[@akshaykotawar5816]

Yes same thing i want ​@@AboniaSojasingarayar

[@AboniaSojasingarayar]

Here the tutorial link to Deploying a Retrieval-Augmented Generation (RAG) in AWS : ruclips.net/video/gicsb9p7uj4/видео.html

[@RajuSubramaniam-ho6kd]

Thanks for the video. Very useful for me as I am new to AWS lambda and bedrock. Can you please upload the lambda function source code? Thanks again!

[@AboniaSojasingarayar]

Glad it helped.
Sure you can find the code and complete the article on this topic in the description.
In any way here is the link to the code : medium.com/@abonia/build-and-deploy-llm-application-in-aws-cca46c662749

[@akshaykotawar5816]

Very Informative thanks for uploading

[@AboniaSojasingarayar]

Glad it helped!

[@zerofive3699]

Very informative

[@AboniaSojasingarayar]

Glad it was helpful!

[@NJ-hn8yu]

Hi Abonia, thanks for sharing. I am facing this error . can you please tell how to resolve it "errorMessage": "Unable to import module 'lambda_function': No module named 'langchain_community'",

[@AboniaSojasingarayar]

Hello,
You are most welcome.
You must prepare your ZIP file with all the necessary packages. You can refer to the instructions starting at the 09:04

[@humayounkhan7946]

Hi Abonia, thanks for the thorough guide, but i'm abit confused with the lambda_layer.zip file, why did you have to create it through docker? is there an easier way to provide the dependencies in a zip file without going through docker? Thanks in advance!

[@AboniaSojasingarayar]

Hi Humayoun Khan, Yes we can but Docker facilitates the inclusion of the runtime interface client for Python, making the image compatible with AWS Lambda.
Also it ensures a consistent and reproducible environment for Lambda function's dependencies. This is crucial for avoiding discrepancies between development, testing, and production environments.
Hope this helps.

[@Bumbblyfestyle]

👍👍

[@AboniaSojasingarayar]

😊😊

[@fkeb37e9w0]

Can we use openai and chromadb on aws??

[@AboniaSojasingarayar]

Yes we can!
In the below tutorial I have demonstrated how we can create and deploy lambda layer via container for larger dependencies : ruclips.net/video/gicsb9p7uj4/видео.htmlsi=F_X7-6YCAb0Kz3Jc

[@fkeb37e9w0]

@@AboniaSojasingarayar yes but can this be done without eks or containers?

[@AboniaSojasingarayar]

Yes! You can try it by creating a custom lambda layer.If you face issue try to use only the required libraries and remove any unnecessary dependencies from your zip file.Hope this helps.