Building a Lead Gen Chatbot using GPT-4o (No-Code)

Building a Lead Gen Chatbot using GPT-4o (No-Code) | VectorShift Tutorial

Рет қаралды 2,737

Күн бұрын

In this video about Automations in VectorShift, you will learn how to automate everyday tasks using AI and VectorShift.
We will use VectorShift automation to automatically create a draft email in Gmail when a Typeform form is submitted.
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📑 Useful Links:
VectorShift: www.vectorshift.ai
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🕒 TIMESTAMPS:
00:00 - Intro
02:35 - VectorShift Account
02:51 - Create new Pipeline
03:36 - Adding an LLM
04:59 - Data Collector Node
08:25 - Adding a custom knowledge base
12:03 - Deploying Chatbot
14:09 - Website Embed
15:17 - Updating Chat Window

Пікірлер: 33

@onlineinformation5320 23 күн бұрын

I NEED HELP WITH FLOWISE CAN YOU HELP ME BUILD NESTED AGENTS (like if one agent generates a response the other agent should reprompt it to further improve this can go in a loop to get the best quality output)

@waynenunn7319 23 күн бұрын

Leon, As usual, it's an excellent video. I use VectorShift for some of my clients. The only real problem is the URL in the embedded code. I would like it to be truly white-label. I would also like to see a similar video for Flowise, especially the recursive web scrapping. Wayne

@jgz2 23 күн бұрын

Thanks again Leon

@creative_cooper 23 күн бұрын

Perfect timing on this video! I was tasked with building something like this for a client. This video helps alot.

@leonvanzyl 23 күн бұрын

You're welcome 🤗

@creative_cooper 23 күн бұрын

@@leonvanzyl quick question is it possible to add text-to-speech and speech-to-text within the chatbot block?

@moomoo8115 21 күн бұрын

Clear, understandable, and very helpful.. great tutorial. Thank you!

@leonvanzyl 21 күн бұрын

You're welcome

@maniecronje 23 күн бұрын

Great job! as always Leon thank you, would ♥ to see it in Flowise too 🙏

@CptTurk81 21 күн бұрын

Hey Leon, great video series on Flowise. I'm just starting out with AI and your videos are very helpful. I am a bit stuck however and hoping you can help? Im trying to use the serp api tool to search for an image (anything) but the I'm not getting the image back in the chat window. Is there a way to do this?

@e-Course. 23 күн бұрын

Leon this is very nice video , thank you

@leonvanzyl 23 күн бұрын

You're welcome 🤗

@e-Course. 21 күн бұрын

@@leonvanzyl Please make video in Vectorshift about User authentication with save ID and Password in airtable

@micbab-vg2mu 23 күн бұрын

nice

@acevedoae 11 күн бұрын

Hello Leon, this platform is not self-hosted like Flowise (free). What advantages does it offer compared to Flowise for migrating?

@reinhardrinaldo350 14 күн бұрын

Hi, I included a pdf file and a url in the Knowledge Base reader. Everything got green hooks. It just doesnt work well. It asks for name and email and that is pretty much it. Only if I ask for the url of the web site it gives a correct answer. Any idea what could be the reason? Thank you ...

@medoussamaelmousaouy1962 22 күн бұрын

hello, I already have a well-tuned model that I can use, I have the mxtral8X7B. and for the pricing remains the same, even if I use my model??

@ricardofernandez2286 20 күн бұрын

Hi Leon, I posted a comment yesterday and somehow it disappeard. Besides telling you how good your explanation was, I was wondering what was the advantage of using Flowise for building chatbots when this platform seems to give you many of the cumbersome task you have to manually solve in flowise,already solved, like not having to deal with splitting , embedding, vector databass, etc. Why should I keep working with flowise? I guess there must be a good reason. Your wisdom will be much appreciated!! Thank you!! Ricardo

@leonvanzyl 20 күн бұрын

Hi Ricardo! I know it can be really hard to decide on a platform. The knowledge base solution in VectorShift is incredible. As you said, you don't have to many build the "RAG" solution. It's all there and just works. I guess Flowise gives you a lower level of control, but most people won't care. Flowise has the upper hand when it comes to agents though. Especially now with agent teams.

@ricardofernandez2286 20 күн бұрын

Yeah. It's a wonderful time of discovery, but on the other hand it is almost an act of faith to remain loyal and stick to one solution as your main tool. And tool hopping is not a very efficient practice as it prevents you to become really proficient in any of them. Kind of sad 😢

@benh8199 23 күн бұрын

Which would you choose for production if you had to only choose one? Flowise, Langflow or Vectorshift?

@nkofr 23 күн бұрын

or Dify ???? or another one??

@christiansard5247 23 күн бұрын

The landscape of automation/chatbots platforms is wider by the day...: botpress, mindstudio, make, n8n... i'm sticking for now to n8n,flowiseai and langfuse for metrics & monitoring because those can be self-hosted, super important for clients ;-)

@leonvanzyl 23 күн бұрын

n8n is really cool and fun to use as well! Where do you host your n8n instances by the way?

@christiansard5247 23 күн бұрын

@@leonvanzyl well mostly locally on servers inside client network ;-) but i have 2 instances on OVH public cloud (certainly not the cheapest path ... but its for historical reasons), using docker images

@nkofr 23 күн бұрын

@@christiansard5247 trop cher OVH ;)

@muhammadrafay6022 22 күн бұрын

Hey Leon, Can we all integrate the data collector to Google sheets so that the name, email can be seen there?

@leonvanzyl 22 күн бұрын

Absolutely! You can pass the results of the collector to any of the available integrations.. like Airtable, Google Sheets, etc. I would probably add an LLM in that flow as well, just to check that the fields in the collector actually have values.

@ricardofernandez2286 21 күн бұрын

Hi Leon, very interesting!!! Now, how is this different from building a chat bot in Flowise? Here I See things that are already solved when it comes to directed behaviors, which in Flowise are not present or Even possible. Here I don't have to deal with vector databases, chunking or embeddigs. It resembles a classic chat bot on steroids because You can add Llm models to the flow. Why would I continue buildig in Flowise, besides the fact I can host it myself? In summary, which are the benefits of building in a kind of wild platform like Flowise when You have a platform like this that seems to have You covered in most things You need to do? Thank you very much!!! Ricardo

@ramprasadchauhan7 23 күн бұрын

Nice explanation, please make this type project with langchain js. How to trained model with custom data, vector store and retrieve data. I am searching video for how to trained chatbot using custom data with javascript.

@leonvanzyl 23 күн бұрын

Thank you. I actually have an entire playlist on my channel dedicated to Langchain JS with RAG. kzfaq.info/get/bejne/g8eDrNGouK_YqWg.html

@ramprasadchauhan7 23 күн бұрын

@@leonvanzyl I have completed basic. But not implemented in project, please make a chatbot, trained with custom data, which store in database as embedded form. It is very helpful. Thank you 🙏