Amazon Bedrock Tutorial for Beginners - Build an AI Chat App

[@sysadmin9396]

Bro.. it’s kinda nuts how not even the own AWS KZbin channels explain this as good as you. Thank you man. Seriously.

[@ricksegalCanada]

First, thank you for your efforts here. Under 20 minutes where others went hours (!) to accomplish exactly what you achieved. Well done. I had to do some Pylint fun like importing OS before Boto3. And I assume in your flavor of Visual Studio Code there's a bunch of 'just ignore it stuff we don't see in your code build. Like Redefining names from outer scope. VSC complained about language, freeform_text, and response but, meh, code worked fine and, as you said this makes for a great founding script to build upon. Again, thanks for taking the time to do this and other videos. +1 on the subscriber list.

[@trevspires]

That’s super helpful context. I have a very vanilla VScode setup, but also its likely VS code idiot-proofed the code for me! lol

[@lorenzomonteverdi221]

Very interesting, I'm excited to see the next steps about more complex chatbots. Could be nice to see how to performe the RAG 😯

[@trevspires]

Check out Bedrock's new Knowledge Base features! Super simple way to get basic RAG working on AWS

[@reedfansler7428]

Super helpful! Any tips on what to use now that LLMChain is deprecated?

[@mhdazh]

Thank you so much for a clear explanation

[@ajhawr]

Have minimal experience in Python. But I had to actually run `pip install langchain --upgrade` in order for imports to stop complaining.

[@shobitvijayvargiya7824]

Hi Trevor, I could not see Bedrock in the AWS toolkit extension. Was able to create a profile in VS code using an AWS user (Access Key etc) but unable to get my main.py file executed via VS code. No Error but no output too. What am I missing ? (No Software Development Experience). The user has full Bedrock permissions via AWS console.

[@Z_0196]

great video - is it possible to have the code reference data in a database or excel file when answering user prompts?

[@baibhavghimire3889]

Fun starts with Rag and vector db but this is good for beginners!

[@seanjcan]

Awesome video! Just what I needed!

[@tyafurry]

Thank you, your explanation is very clear! in my case, i add knowledge base API too

[@oskav2024]

Thanks for all the information. So much fun building this project.

[@hamids2065]

Nicely explained and demonstrated, things look so easy your way. Many thanks.

[@linkluiz2]

Keep it up Trev!!!

[@gwils30]

Hi I have this app working perfectly on my local laptop in streamlite, however when I try to run from EC2 instance, I get Error raised by bedrock service: Unable to locate credentials, any idea how I can fix this error

[@danieltalkstech22]

Great video! Really enjoyed it 💪

[@trevspires]

Thanks bud!

[@saulitasmith7007]

I recall watching one of your detailed live videos few Mondays ago,that was about an hour long. I thouroughly enjoyed it and now looking for the link for it, could you please kindly provide me the link?

[@hey121e3]

please can you do a video of integrating the chatbot on your website? I want my customers to be able to see the chatbot when they click on my website, so that they can ask it questions about my product

[@theacehendrix9998]

bro, im an entry level AWS software engineer and im watching this bout to tear up. All I want to do is get better in this field and I wish I had coding guidance like this at work. Any tips on to gain these type of skills? But Please, keep up the good work and i definitely will like share and subscribe

[@trevspires]

Honestly... youtube tutorials. That's how I personally learned. I watched a couple of langchian courses from freeCodeCamp, and that got me the fundamentals to start building on my own

[@seherbal4122]

Thank you it's very helpful⭐

[@SuryaCse]

Could you please tell me how to get data from the S3 bucket and build an AI App?

[@trevspires]

@@SuryaCse look into RAG!

[@shravanhegde2237]

are there more resources.?.i have an internship and i gotta take care of the aws implementation in the project so pls help me

[@jeffotoni]

And oh man, What camera are you using? And are you using a table to connect it to the computer?

[@trevspires]

1 - Sony mirrorless 6k!! Sigma prime lens 2 - Its on a tripod, plugged via capture card

[@jeffotoni]

@@trevspires SONY ALPHA A6700 ?

[@trevspires]

6400 is what I use @@jeffotoni

[@jeffotoni]

​@@trevspires Really worth it, thank you😍

[@jeffotoni]

​@@trevspires The image was excellent

[@patriciofernandez27]

Hi Trevor! The code works great until i send the prompt. That is when i get the following error code: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: self signed certificate in certificate chain (_ssl.c:997) I have looked in the Internet can't find the correct solution. Is there anywhere i can reference? Thanks a lot in advanced!

[@fintech1378]

im running my custom video generation AI model, how to calculate my cost?

[@sajaltyagi3036]

Please make a personalized one also

[@alexalcanis2512]

Thanks this is great! is there a way to use my Bedrock knowledge base with the Bedrock chatbot?

[@trevspires]

Yes!! Check the API/SDK docs for invoking the Agent or KB

[@mrka_]

Can't access the models I'm getting operation not allowed. My IAM has full access

[@trevspires]

Did u turn on access to the model? You have to turn them on in bedrock

[@fintech1378]

can you do a tutorial for image/video generation on bedrock

[@RehamanAliShaik]

Superb.I want to know how this came be deployed on aws servers?

[@trevspires]

Same way you'd run python code on any AWS server Just install the required libraries and run it on Container, EC2, etc. Only difference is you'd want an IAM role from the server that can hit Amazon Bedrock. All else should remain the same.

[@nomad4691]

Which AWS extension are you using? Seems there are several

[@trevspires]

AWS Toolkit - The main one

[@spartacus987]

​@@trevspires Thanks! Found it, works like a charm. Game changer!

[@sysadmin9396]

SUBBED

[@mohsinabbasi7949]

Very Much helpfull.

[@alecd8534]

Thanks， Trevor. I see the streamlit interface runs in local. If I want my team mates to access this chatbot from browser, how to get a password protected web portal to access it? Please advise.

[@trevspires]

For that, amazon Q might be a better option. You could leverage IAM to manage their access. But you could look into using something like Cognito + WAF or some simple front-end to protect the interface with auth Lots of different ways to impliment auth.