I Built a FULL RAG AI Agent with No Code in 4 Minutes with VectorShift

[@larsh5853]

When would you use n8n and when would you use Vectorshift ? Both looks great.

[@ColeMedin]

Great question! n8n gives you a lot more options for working with other services besides LLMs. Things like CRMs, chat platforms, those kind of integrations. So I'd use n8n when you want to connect to those services that aren't available in VectorShift. VectorShift is better when you want something more robust out the gate. It provides incredible knowledgebases with minimal setup. The kind of thing that would take a while to get right in n8n. And knowledgebases are just one example - there is a little less control than n8n but overall you can make things much quicker! Using both together could also be a good option! VectorShift for the RAG agents and then n8n for the accompanying workflows that interact with specific services you need.

[@PeetSchutte]

Well done, you are really good at explaining. Appreciate and enjoy your videos👍

[@ColeMedin]

I appreciate it a lot! Thank you!

[@marcusmayer1055]

Please make a video on how to create a bot for Summarize video on KZbin or gDrive using this service

[@ColeMedin]

I appreciate the suggestion Marcus! Next month I will be making another video on VectorShift and I will certainly consider this use case!

[@camerongolinsky]

You are killing it. Do you have any experience with Botpress? Some slack integrations changed recently and I'm considering switching from Botpress to this.

[@ColeMedin]

Thank you Cameron, that means a lot to me! I have not used Botpress before. I checked it out quick now and it seems VectorShift would be a lot more affordable depending on what you are doing in Botpress.

[@utility007]

Awesome. Thank you!

[@ColeMedin]

Thank you - my pleasure!

[@LuisJavierStudio]

Is this similar or same to langflow?

[@ColeMedin]

Similar! VectorShift has a lot more production ready features as far as logging and monitoring though which is super important. But Langflow is fantastic too!

[@codeofsilenceent]

This is fcking awesome. Thanks man. Great great tutorial!

[@ColeMedin]

Thank you very much! My pleasure :)

[@LuisJavierStudio]

Is that Naive RAG?

[@ColeMedin]

It's a basic similarity search, yes!

[@NorthCountrySportChiro]

הצרפתים

[@ColeMedin]

הגרמני