Today's Deep-Dive: n8n
Ep. 30

Today's Deep-Dive: n8n

Episode description

This episode highlights the capabilities of N8N’s AI, which acts as a personal automation assistant by suggesting code snippets and workflows to help users, especially those less comfortable with coding. It integrates with Langchain, enabling the creation of AI-powered automations that can understand and generate human-like text. For instance, users can build a chatbot using Langchain within N8N to answer customer inquiries by processing questions and retrieving relevant information from a knowledge base, ultimately generating natural-sounding responses.

https://n8n.io

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0:00

Hey everyone and welcome to today's deep dive. We're going to be exploring

0:03

N a N. Ooh, and a it's this platform that's, uh,

0:07

really making waves in the world of workflow automation. Absolutely. Yeah.

0:11

Now, whether you're a seasoned coder or just starting to dip your toes into this

0:16

whole world of, you know, automation, this deep dive is for you.

0:20

We're going to break down exactly what N eight N is all about,

0:23

why it's generating so much buzz and how it stacks up against some of the big

0:28

players like Zapier and Incunate. Um,

0:31

we've got a pretty interesting stack of sources here.

0:33

We've got marketing materials straight from any end themselves. Okay.

0:37

We've got some user reviews. We've got some in-depth comparisons. Nice. Yeah.

0:40

It's really exciting to see a platform like an eight N emerge.

0:44

I feel like it really addresses some of the pain points that people have been

0:48

experiencing with existing workflow automation tools. Yeah.

0:51

We're talking about cost flexibility and that desire for more control over your

0:55

data and your setup. Okay. So for those who are maybe new to this whole workflow

0:59

automation thing, let's start with the basics.

1:02

What exactly does it mean to automate a workflow?

1:06

That is a great question.

1:07

Imagine you have a bunch of tasks that you do regularly. Okay.

1:11

Maybe it's like saving email attachments to a specific folder or updating a

1:16

spreadsheet with information from different sources. Okay. Yeah.

1:19

Workflow automation essentially lets you create a system where these tasks happen

1:24

automatically without you having to manually do them each time. And it saves

1:28

you tons of time and mental energy.

1:31

So it's like having a tireless digital assistant working for you 24 seven.

1:35

Exactly. And that's where EngAinan comes in. Okay.

1:37

It's a platform that allows you to build these automated workflows visually

1:42

using a system of nodes. Yeah. Think of nodes as building blocks,

1:47

each representing a different app or action. Okay. For example,

1:50

you might have a node for Gmail,

1:51

a node for Google drive and a node for sending a notification.

1:55

So I could create a workflow where like an email attachment is automatically

1:59

saved to my Google drive. And then I get like a notification on my phone.

2:02

Precisely. You just connect the nodes together in the order you want the

2:06

actions to happen. Oh, wow. And Payten takes care of the rest.

2:09

And the cool thing is any 10 has integrations with over 300 apps. Wow.

2:14

So the possibilities are pretty vast. That's impressive. Um,

2:18

one thing that really jumped out at me from the marketing materials was

2:21

and ain't ends emphasis on being developer friendly. Oh yeah.

2:25

They even have built in code nodes for JavaScript and Python.

2:28

That's a key differentiator for any 10 while it is designed to be user

2:33

friendly for anyone.

2:34

It also caters to those who really want to like dive into customization and

2:39

build highly complex.

2:40

Right. But let's be honest,

2:47

most people even if they're tech savvy,

2:49

aren't necessarily looking to write code when they're trying to automate their

2:51

workflows. Absolutely.

2:52

And that's where any enhanced strikes are really nice balance.

2:55

You can get a lot done with just the visual workflow editor,

2:58

just dragging and dropping nodes to create your automation. But if you need to,

3:02

those code nodes are there waiting,

3:04

allowing you to extend the functionality in ways that might not be possible with

3:08

a purely visual approach. Yeah, that makes sense.

3:10

So it caters to both the no code crowd and the hardcore coders. Exactly.

3:14

And don't forget the vibrant community behind any in it. Okay.

3:18

Even if you're not a coder,

3:19

you can find prebuilt workflows and helpful tips on their forum. Oh wow.

3:23

It's like having a network of automation experts at your disposal. Very cool.

3:27

Okay. So NNN sounds pretty cool,

3:29

but how does it actually stack up against the big names in the workflow

3:34

automation space like Zapier? That's a great question.

3:37

While Zapier has been the go-to for many people,

3:40

NNN positions itself as a more powerful and cost-effective alternative,

3:44

especially for complex workflows. Okay.

3:47

One of the biggest differences is pricing. Zapier charges you per task,

3:51

which can get really expensive if you have workflows with a lot of steps.

3:55

NNN on the other hand, charges per workflow,

3:57

no matter how many steps it involves. So if you have a workflow,

4:00

that's doing a lot of heavy lifting and NNN could potentially save you a ton of

4:04

money. Right. So if I have a workflow that's doing a lot,

4:06

NNN could save me a lot of money. Absolutely. And it's not just about cost.

4:11

NNN has a few key features that give it an edge in terms of flexibility and

4:16

power. Okay. Like what? Well, for instance, it has nodes like the merge node,

4:21

the set node and the split in batches node.

4:23

These nodes allow you to do some pretty sophisticated data manipulation and

4:27

workflow control, right?

4:28

Things that you might not be able to achieve as easily with Zapier. Okay.

4:32

So those nodes essentially unlock more advanced functionality.

4:37

Could you give us an example of how they might be used in a real world scenario?

4:42

Sure. Let's say you're collecting data from different sources,

4:45

maybe a web form and a spreadsheet.

4:47

The merge node would allow you to combine that data into a single stream.

4:50

Then you could use the set node to add specific values or modify the data before

4:55

sending it off to another application.

4:57

And if you need to process large amounts of data in chunks,

5:01

the split in batches node can handle that efficiently.

5:04

That's a great example.

5:05

It really shows how those nodes can empower users to build more sophisticated

5:10

workflows.

5:11

And let's not forget about any self-hosting option.

5:14

You can actually run N8n on your own server,

5:16

giving you complete control over your data and setup.

5:19

This is huge for security conscious individuals or organizations that have

5:24

strict data privacy requirements.

5:27

Zapier on the other hand is strictly a cloud based platform.

5:32

So with N8n you have the option to keep everything in house,

5:35

which can be a major selling point for some.

5:37

Exactly. And it's worth noting that even with its free plan,

5:40

N8n allows for unlimited users.

5:43

This is something that Zapier reserves for its higher tier paid plans.

5:46

Oh wow. Yeah. Okay.

5:48

So N8n is definitely making a compelling case for itself. Well,

5:51

we have another contender in the ring, Make, formerly known as IntegraMap.

5:55

So how does N8n compare to Make?

5:57

This is where things get even more interesting.

5:59

While Make is a strong platform with a lot to offer,

6:02

N8n seems to edge it out in a few key areas. First and foremost,

6:06

N8n's user interface is designed with developers in mind.

6:10

It has a built-in JavaScript editor right within the platform,

6:13

giving you the ability to customize your workflows with code directly.

6:18

So it's like having the best of both worlds,

6:20

a user-friendly visual editor and the flexibility of coding.

6:24

Precisely. And while Make does have some coding capabilities,

6:27

it's not as seamlessly integrated as it is in N8n.

6:31

Gotcha. And how do they compare when it comes to community support?

6:34

Another win for N8n here.

6:36

Their community forum is incredibly active and responsive.

6:40

Users and developers are constantly sharing solutions,

6:43

tips and pre-built workflows. Nice. It's a fantastic resource,

6:47

especially if you're just getting started with N8n. Awesome.

6:50

So N8n seems to be ticking a lot of boxes. It's cost-effective, flexible,

6:55

developer-friendly, and has a great community. It does.

6:58

Is there anything else that stands out to you about N8n?

7:00

You know, one thing that really impresses me is how N8n handles data storage.

7:05

Okay. The way they've designed it,

7:07

data is seamlessly stored within the workflow itself.

7:10

You don't have to set up any external databases or worry about complex data

7:14

management. Oh, wow.

7:15

It's all handled internally making it much simpler to work with.

7:18

That sounds really elegant. Yeah. How does Make handle data storage?

7:23

Make requires you to set up something called a data store,

7:25

which essentially acts as a separate database. Okay.

7:28

It's an extra step that can add complexity,

7:30

especially for those who are new to workflow automation.

7:33

So N8n seems to be taking a more streamlined approach to data management,

7:38

making it more intuitive for users. Absolutely. Okay.

7:42

Anything else we should highlight about N8n?

7:44

Let's talk about user management.

7:45

N8n keeps it simple with just two account types, owner and member. Okay.

7:50

This makes collaboration straightforward without getting bogged down in

7:53

complicated permission settings.

7:54

Whereas Make offers more granular roles,

7:57

which can be a bit overwhelming for some users. Exactly.

8:00

And while those extra roles might be necessary for larger teams,

8:03

N8n simplicity is a welcome breath of fresh air for smaller teams or

8:07

individuals.

8:08

All right.

8:08

So we've covered a lot of ground in this first part of our N8n deep dive.

8:11

We've talked about the basics of workflow automation and N8n's key features and

8:16

how it compares to Zapier and Make, but there's so much more to explore.

8:20

What are we diving into next?

8:22

Next we'll take a closer look at some of N8n's more advanced features.

8:26

Things like it's debugging and monitoring tools,

8:30

it's AI integration capabilities and it's self hosting options.

8:35

We'll really get into the nitty gritty of what makes N8n such a powerful

8:38

and versatile platform.

8:39

Awesome. I'm excited to delve deeper into the world of N8n.

8:43

We'll be back soon with more insights and analysis. Don't go anywhere.

8:46

Stay tuned.

8:47

Welcome back to our deep dive into N8n. In part one,

8:52

we explore the basics of workflow automation and how N8n stacks up against its

8:56

competitors.

8:57

Now let's roll up our sleeves and really delve into some of the more advanced

9:00

features that make N8n such a powerful tool.

9:03

I'm excited to dig a little deeper.

9:05

Okay. So first on the list, debugging and monitoring.

9:08

These might not be the flashiest features,

9:10

but they are absolutely crucial when you're building complex automations.

9:15

I mean, what good is a powerful workflow if you can't figure out why it's not

9:20

working or track what's happening behind the scenes.

9:22

Precisely. And N8n doesn't disappoint in this area.

9:25

One thing that I really appreciate is their visual debugging system.

9:30

You can literally watch data move through your workflow in real time.

9:35

Oh, wow.

9:35

This makes it so much easier to spot any errors or unexpected behavior.

9:40

That sounds incredibly helpful. It's like having X-ray vision into your workflow.

9:44

Exactly. And to make things even easier,

9:46

N8n has this cool feature called data pinning.

9:50

Imagine you're working with a workflow that involves fetching data from an

9:54

external API. This can be really time consuming,

9:57

especially if you're testing and tweaking things. With data pinning,

10:01

you can save the output data of a node and use that saved data instead of

10:05

making repeated calls to the API.

10:07

So it's like a snapshot of the data at a specific point in the workflow.

10:11

Exactly.

10:12

This can save you a ton of time and headaches during development and debugging.

10:16

And speaking of headaches, let's talk about error handling.

10:19

Error handling everyone's favorite topic.

10:22

Inevitably things will go wrong at some point.

10:25

A connection might fail or data might not be formatted correctly.

10:29

NNN handles these situations gracefully with its error handling flows.

10:34

Okay.

10:34

Break that down for me.

10:35

How does NNN handle errors?

10:37

So instead of just failing silently and leaving you in the dark, NNN allows you

10:43

to define specific actions to take when an error occurs.

10:47

Okay.

10:47

You can set up a workflow that sends you a notification, logs the error to a

10:51

file, or even tries to retry the failed step.

10:54

So you're not just left like scrambling to figure out what went wrong.

10:56

Right.

10:57

And NNN gives you the tools to proactively manage those errors and

11:00

keep your automations running smoothly.

11:02

Exactly.

11:03

And for those who really like to keep a close eye on things, NNN also has

11:06

a very robust logging system.

11:08

Okay.

11:08

They even offer log streaming capabilities.

11:11

So you can send your log data to external services for analysis and monitoring.

11:15

Oh, yeah.

11:16

Okay.

11:16

So debugging and monitoring, check.

11:18

NNN seems to have all the bases covered there.

11:21

It does.

11:22

Now let's talk about a topic that's been generating a lot of buzz lately.

11:26

AI integration.

11:28

This is where things get really interesting.

11:30

And NNN is starting to incorporate some very cool AI capabilities that have the

11:35

potential to like revolutionize how we build and interact with automations.

11:40

Okay.

11:40

Give me an example.

11:41

Okay.

11:41

So for example, they have this feature called ask AI, right?

11:45

This is where you can literally describe what you want to achieve in plain English.

11:49

Oh, wow.

11:50

And Aidan's AI will suggest code snippets or even entire workflows to get you started.

11:55

It's like having a personal automation assistant.

11:57

It is.

11:58

Imagine you're struggling to figure out how to connect to a specific API or perform a

12:02

certain task.

12:03

You can simply ask NNN's AI for help and it will guide you in the right direction.

12:07

That's a game changer, especially for those who might not be as comfortable with coding

12:11

or are new to NNN.

12:12

Absolutely.

12:13

And NNN's AI capabilities go beyond just code generation.

12:17

They've also integrated with Langchain, a framework for building applications with

12:22

large language models.

12:24

Okay, now that sounds a bit technical.

12:25

Can you break that down for me?

12:27

Yeah.

12:27

So essentially it means you can create AI powered automations that can understand and

12:33

generate human like text.

12:35

Okay.

12:35

I need an example.

12:36

How could I actually use Langchain within NNN?

12:39

Sure.

12:39

Let's say you want to build a chat bot that can answer customer questions based on

12:43

information from your company's knowledge base.

12:46

With Langchain and NNN, you could create a workflow that takes a customer's question,

12:51

feeds it to a large language model.

12:53

Okay.

12:54

Extracts irrelevant information from your knowledge base and then generates a

12:57

natural sounding response.

12:59

That's amazing.

12:59

It's like bringing the power of conversational AI right into your workflow automation.

13:04

And the beauty of NNN is its flexibility.

13:06

Yeah.

13:06

You can connect these AI powered workflows with other parts of your automation

13:10

ecosystem, pulling data from external sources, manipulating it with code and

13:15

creating truly intelligent and dynamic automations.

13:18

So NNN isn't just keeping up with the latest AI trends.

13:21

No.

13:21

It's embracing them.

13:23

And giving users the tools to create truly cutting edge automations.

13:27

Absolutely.

13:28

Okay.

13:29

Now let's circle back to a topic we touched on earlier.

13:31

Self-hosting.

13:32

Okay.

13:33

This is a big differentiator for NNN offering users the ability to run the

13:37

platform on their own servers.

13:39

It is.

13:39

So why is self-hosting such a big deal?

13:42

Well, self-hosting is a fantastic option for those who prioritize

13:45

data privacy and security.

13:47

Okay.

13:47

When you run NNN on your own infrastructure, you have complete control over where

13:52

your data is stored and who has access to it.

13:55

Right.

13:55

You don't have to rely on a third party provider and trust their security measures.

13:59

And for organizations that have like strict compliance requirements, self-hosting

14:03

can be a must have.

14:04

Absolutely.

14:05

And beyond security, self-hosting gives you the flexibility to customize

14:09

NNN to your heart's content.

14:11

You can install additional libraries, tweak the configuration, and even modify

14:15

the source code if you want to.

14:17

It's like having a blank canvas for creating your ideal automation environment.

14:20

Exactly.

14:22

But let's be realistic, self-hosting can be daunting for some people, especially

14:27

if they don't have a lot of experience with server management.

14:30

Right.

14:31

Is it really feasible for the average user?

14:34

Good question.

14:34

NNN has made the self-hosting process surprisingly straightforward.

14:38

They offer excellent documentation and support, and their community is

14:43

always there to help.

14:44

They even provide pre-built Docker images, which make it incredibly easy to

14:49

get NNN up and running on various platforms.

14:51

So it's not just for like tech wizards.

14:53

Nope.

14:53

With a little bit of effort, anyone can set up NNN on their own server.

14:57

Absolutely.

14:58

And don't forget the cost savings.

14:59

Oh yeah.

15:00

Cost is always a factor.

15:01

Self-hosting can be significantly cheaper than using a cloud-based

15:05

platform, especially if you already have existing infrastructure in place.

15:09

So it's a win-win.

15:09

More control over your data and potential cost savings.

15:13

Exactly.

15:14

Okay.

15:14

Let's talk about another crucial aspect.

15:17

Security.

15:18

All right.

15:18

We've already touched on how self-hosting can enhance security.

15:22

But what about NEN's built-in security features?

15:24

N8N takes security very seriously.

15:27

First and foremost, they're an open source platform, which means their code

15:31

is publicly available for anyone to inspect and audit.

15:34

This transparency helps build trust and ensures that any potential vulnerabilities

15:39

can be quickly identified and addressed by the community.

15:42

Transparency is definitely a good sign.

15:43

It shows that they're not trying to hide anything and they're confident

15:46

in the security of their platform.

15:47

Exactly.

15:48

And they encrypt data, both in transit and at rest, using industry

15:52

standard encryption protocols.

15:54

Okay.

15:54

This means your data is protected, whether it's moving between nodes

15:58

in a workflow or stored on your server.

16:00

And for those who are working with particularly sensitive data, NA10

16:03

offers the option to store credentials and secure vaults,

16:06

further enhancing security.

16:08

Right.

16:08

And of course they have robust user access controls, allowing you to define

16:12

granular roles and permissions to ensure that only authorized users have access

16:17

to specific workflows and data.

16:19

Okay.

16:19

So, NEN seems to be hitting all the right notes when it comes to security.

16:22

They're transparent, they encrypt data, they provide granular access controls.

16:28

Yeah.

16:28

Now looking ahead, what are your thoughts on NEN's potential

16:31

for growth and evolution?

16:33

I think NEN is in a really exciting position right now.

16:36

They're constantly innovating, adding new features, expanding their integrations,

16:41

and their open source nature means that the community is also actively

16:45

involved in shaping NEN's future.

16:47

It's like a collaborative ecosystem where everyone benefits from the shared

16:50

knowledge and contributions.

16:51

Exactly.

16:52

And NEN is incredibly responsive to feedback.

16:55

They really listen to their users and take their suggestions seriously.

16:59

This user centric approach gives me confidence that NEN will continue to

17:03

evolve and adapt to the ever-changing needs of the automation landscape.

17:07

So if someone is considering investing their time and resources into learning

17:11

NEN, it sounds like a pretty safe bet.

17:13

I would say so.

17:14

It's a powerful, flexible, cost-effective platform with a bright future ahead of it.

17:18

And on that note, let's take a short break to let all this information sink in.

17:23

Okay.

17:24

When we come back, we'll wrap up our NEN deep dive with some final thoughts and

17:28

key takeaways for our listeners.

17:30

Stay tuned.

17:31

Stay with us.

17:32

Welcome back.

17:33

We've spent this deep dive really getting to know NEN, from its user-friendly

17:37

interface to its powerful features.

17:39

Yeah, a lot to cover.

17:40

Like AI integration and self-hosting.

17:43

But now for the most important part, what does all this mean for you, our listener?

17:48

That's the question, isn't it?

17:49

We've thrown a lot of information your way.

17:51

Right.

17:52

Nodes, workflows, automation.

17:54

It can seem like a lot.

17:55

Exactly.

17:55

But it's more than just the tech specs, right?

17:57

It's about how this can actually change your day to day.

18:00

Yeah.

18:00

How can this make your life better?

18:02

Think about those tasks that just steal your time and your focus.

18:06

Maybe it's constantly transferring data between spreadsheets or manually

18:11

sending follow-up emails.

18:12

Or even more complex stuff.

18:13

Like we said, grabbing info from websites or building a basic chatbot.

18:17

Those are exactly the kinds of things ending can handle for you.

18:20

Right.

18:20

And it frees you up, right?

18:22

Absolutely.

18:23

The more you automate, the more freedom you have to focus on what really matters.

18:27

That's what really resonates with me.

18:29

It's not just about being more efficient.

18:31

It's about reclaiming your time and mental energy.

18:34

Yeah, totally.

18:35

Imagine a world where you're not bogged down by these like little repetitive tasks.

18:40

You can be more creative, more strategic and more present in other areas of your life.

18:46

So for our listener out there, what's one thing, if this has sparked an idea, what's

18:52

one thing they could automate right now that would make a difference?

18:55

Hmm.

18:55

That's a great challenge.

18:56

It could be something small, like automatically backing up important files.

19:00

Yeah.

19:00

Or maybe they're ready to tackle a bigger project, like building a workflow to

19:04

streamline their business processes.

19:06

I love that.

19:08

Whatever it is, the beauty of anything is it really empowers you to take

19:11

control and make it happen.

19:13

Yeah.

19:13

You have the tools.

19:14

You don't have to go it alone.

19:15

Definitely not.

19:16

We've talked a lot about the Indian community and it really is a valuable

19:20

resource, whether you need help troubleshooting a problem, finding a

19:23

pre-built workflow or just bouncing ideas around the community is there to

19:27

support you.

19:27

It's a great place to start.

19:29

So if you're feeling inspired to dive into the world of automation, we

19:33

definitely encourage you to check out any ends website.

19:35

Yeah.

19:35

Their forums great too.

19:37

In the community forum, there's a wealth of information and support

19:39

available and don't be afraid to experiment and get creative.

19:43

The possibilities with N8n are truly endless.

19:46

Well, on that note, it's time to wrap up our N8n deep dive.

19:50

It's been fun.

19:51

We hope you found it informative and insightful and maybe even a

19:55

little bit inspiring.

19:56

I hope so too.

19:56

Go out there and create something amazing.

19:56

Go out there and create something amazing.