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How to get started in AI: artificial intelligence course to create applications with NoCode

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Estimated reading time: 14 minutes

Introduction to the world of Artificial Intelligence and NoCode

Have you ever thought about create apps without having to dive in in the mysteries of programming? And how about using Artificial Intelligence to simplify everyday tasks? If you seek innovation with ease, mixing Artificial Intelligence with NoCode platforms could be a masterstroke. We'll show you how this is possible in this artificial intelligence mini course, and believe me, it's easier than it looks.

Here, we will guide you through your first steps in the world of Artificial Intelligence: what it is, how it works and its main applications, such as generation of images, audio and text. But does not stop there! We will also teach you how to combine these technologies with NoCode tools, such as Make and n8n. That's right, you will learn how to create incredible solutions, without needing a single code. If you want to turn your ideas into reality, This article is the perfect starting point.

What is Artificial Intelligence?

Artificial Intelligence (AI) is becoming an essential part of our daily lives. Imagine a world where your smartphone can predict what you want to do, or a car that drives itself through city streets. This is already happening thanks to AI, which allows machines to learn and make decisions intelligently.

One of the most fascinating aspects of AI is its ability to learn from past experiences. This is possible through something called machine learning, where computers improve their skills by observing and analyzing large volumes of data.

Let’s look at some important points about AI:

  • Learning ability: AI can identify patterns in complex data, which allows it to continually improve its own skills.
  • Decision making: With the speed and precision that AI offers, it can make decisions in fractions of a second, something especially useful in areas such as financial markets and medical emergencies.
  • Automation: AI is capable of automating repetitive tasks, freeing people to focus on more creative and strategic tasks.

A practical example of the application of AI is in virtual assistants, such as Siri and Alexa. They learn from each interaction, becoming more efficient in understanding and fulfilling your requests. This shows how AI is integrated into our lives, making daily tasks easier.

Understanding AI is valuable today. By knowing the basic principles, you can not only enjoy its advantages but also identify opportunities to apply it in your field of work. AI is no longer restricted to large companies; it is accessible to everyone, opening up a world of possibilities for innovating and improving processes in any area.

In short, Artificial Intelligence is a powerful tool that is shaping the future. With it, we can not only automate tasks, but also create solutions that significantly improve our quality of life and work efficiency.

How do AIs work?

Have you ever stopped to think about how artificial intelligence (AI) can make our lives so much easier? Whether recommending movies or helping predict the weather, AI appears to have an almost human “power” to understand and process information. But how does this actually happen? Let's simplify this here.

Understanding the basis of AI: At the heart of AI are algorithms, which are recipes or instructions that the computer follows to perform tasks. These algorithms can learn from data. That's right, they improve as they receive more information, in a process called machine learning.

  • Machine Learning: Imagine that you want the computer to recognize photos of cats. You don't tell him what a cat looks like. Instead, you show thousands of photos of cats and eventually the system starts to identify patterns that define what a cat is.
  • Neural networks: Inspired by the human brain, these networks are sets of algorithms that try to recognize patterns. They interpret sensory data, such as images and sounds, much like our brain interprets the senses.
  • Natural Language Processing: This allows AI to understand and respond in human language. So when you talk to virtual assistants like Siri or Alexa, it's natural language processing that's at work.

A practical example of using AI is when you use a streaming service like Netflix. Based on the movies you watch, the AI suggests other movies you might like. This is done by analyzing patterns in your viewing history and comparing it to thousands of other users.

In short, artificial intelligences are now capable of performing complex tasks that would normally require human intelligence. They are everywhere, facilitating everything from movie choices to complex weather forecasts. The key to how they work is their ability to learn and adapt, becoming increasingly efficient the more they are used.

Artificial Intelligence Categories

Artificial Intelligence (AI) is increasingly present in our daily lives, and understanding its different categories can help you discover new possibilities. I will explain three main categories of AI that are transforming the way we interact with the world around us.

  • AI for imaging: This technology is super interesting! Think of a system that can identify everything in a photo. This ability is used from unlocking your cell phone with your face to medical diagnoses that help save lives. Additionally, artists are using AI to create works of art that were previously unimaginable.
  • AI for audio generation: Imagine talking to your cell phone and it understanding everything you say, or even transforming any text into a clear and natural narration. This is already possible thanks to audio AIs. They make it easy to make simple requests to a virtual assistant to create audiobooks or podcasts without using a real human voice.
  • AI for text generation: This is the technology behind chatbots that answer questions on websites or apps. Text AI can write articles, create summaries of large texts, and even help writers overcome writer's block. It's a powerful tool for automating and personalizing communications.

Each of these categories has the power to transform different sectors, from art to health and communication. By knowing these technologies in depth, you can not only better understand how they work, but also begin to imagine how they can be applied in your life or work. The key is to explore these tools and think about how they can solve problems in new and creative ways.

AI for image, audio and text generation

Artificial Intelligence (AI) is an incredible tool that is changing the way we create and interact with images, audio and text. She helps us to do fascinating things, from creating art to improving our communication.

In the world of images, AI can identify people, objects and landscapes in photos. This is super useful in areas like security, where facial recognition systems keep places safer, or in medicine, helping doctors analyze imaging scans more accurately. Artists are also using AI to create unique works of art, mixing styles or creating new artistic visions.

When we talk about audio, AI is not left behind either. It can turn text into speech that sounds almost as natural as a human speaking. This is great for anyone who uses virtual assistants or prefers to listen to a book instead of reading. Furthermore, AI systems help with audio transcription, making online meetings and classes more accessible to everyone.

AI text generation is increasingly advanced. Chatbots, for example, are increasingly better at simulating human conversations. This helps a lot with customer service, where the bot can solve simple problems without a person needing to intervene. There are also programs that help writers overcome creative block, suggesting ideas or completing sentences.

In all of these areas, AI is opening up new possibilities, making our lives easier and our businesses more efficient. With it, we can not only do more, but also do better, exploring new ways of creating and interacting with the world around us.

AI agents and their application

Artificial Intelligence Agents, or AIs, are like virtual helpers that make the lives of people and companies easier. They can do a little bit of everything, from answering questions to helping you sell more and better.

Imagine a virtual assistant who serves customers day and night, without rest. This assistant can answer questions, offer products and even close sales. He is an employee who doesn't take vacations and is always ready to help. Another interesting example is an agent who analyzes what customers like and suggests products they really want to buy. This helps improve sales and delight customers.

For an AI agent to work well, you need to configure it correctly and feed it with a lot of data. This way, he learns and gets better and better at what he does. A good initial configuration and a constant feed of data are essential for the agent to improve their skills.

With the advancement of technology, these agents are becoming indispensable. They help to offer a more personalized and efficient service, which is exactly what most customers are looking for today.

Additionally, connecting these agents to tools that do not require programming knowledge, such as make up and n8n, enhances your capabilities. This integration allows you to create innovative solutions without needing to understand codes. It's a way to innovate and stand out in the market, offering services that really catch the attention of customers.

If you are interested in making use of these technologies, there are courses that teach you how to make the most of AI agents and NoCode tools. Taking advantage of these resources could be the key to the success of your business in the digital world.

Connecting AI with NoCode tools

Integrating Artificial Intelligence (AI) into your projects is now easier than you think, thanks to NoCode tools. These platforms allow you to add advanced AI capabilities without having to write code. This opens up a world of possibilities, even if you're not an experienced programmer.

NoCode tools simplify the process of adding AI to your application. You just need to select and drag the components you want to use. For example, if you want to create a system that recognizes photos, you don't need to learn about complex algorithms. Just choose the image recognition block on your NoCode platform and that's it, your functionality is added.

This facility brings countless opportunities for innovation. Imagine creating an application that helps manage a company's visitors using facial recognition, or a virtual assistant to automatically serve customers. All of this becomes possible and practical with NoCode and AI.

A real-life example would be creating a chatbot for your website. Chatbots can understand common customer questions and respond intelligently. This improves the user experience, reduces the burden on your support team, and keeps your customers happy.

If you've always wanted to incorporate cutting-edge technology into your projects, but felt limited by programming, NoCode and AI tools are the solution. They open the doors to creating innovative solutions without complications. Imagine the possibilities and start exploring this powerful combination today.

Using Make and n8n for integration

Exploring the integration of Artificial Intelligences (AIs) with NoCode tools like Make and n8n can truly transform the way you develop solutions and automations. These tools make the entire process more accessible and less technical, allowing even non-programmers to create complex systems.

make up is a visual tool that makes it easy to automate tasks. Imagine you want AI to analyze sales data and automatically send an email report whenever it reaches a certain value. With Make, you can do this by dragging and dropping action blocks, without writing a line of code.

n8n, on the other hand, offers a similar approach but is even more flexible. It allows you to integrate several different applications, such as your database, email tools and, of course, your AI. For example, you can set up a flow that, upon receiving new data, sends it to AI to process and then automatically updates a dashboard that you use for monitoring.

To get started using these tools, follow these simple steps:

  1. Log in and sign up or install Make or n8n.
  2. Create a new project and set up the workflow by dragging the necessary steps.
  3. Configure data inputs and outputs. Make sure all the data your AI needs is being sent correctly.
  4. Run a test to make sure everything is working as expected.
  5. Adjust whatever is necessary to optimize the process.

These steps not only simplify but also enhance your operations, allowing you to focus on other areas of your business while automation takes care of repetitive or complex processes.

Integrating AIs with NoCode tools is a one-way street for those looking for efficiency and innovation. Start small, test different settings, and see how these tools can help you achieve impressive results with less effort.

Conclusion and call for the NoCodeIA course

We hope you enjoyed exploring the fascinating world of Artificial Intelligence together with NoCode tools. Now that you know how these technologies work and how they can be integrated, you are one step ahead in starting your own projects with more confidence and innovation.

Combining Artificial Intelligence and NoCode not only simplifies the process of developing technological solutions, but also opens up a range of possibilities for anyone, regardless of their technical level. Imagine being able to create applications, tools or services that use AI without having to write a single line of code!

Don't miss the chance to be at the forefront of this technological revolution. O NoCodeIA course NoCodeStartup is designed to take you from basics to advanced, preparing you to create effective and innovative solutions. Are you ready to turn your ideas into reality? Join us and master the tools that will shape the future of digital development!

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The WhatsApp API is one of the main solutions for companies that want to scale their customer service and communication automation. 

WhatsApp, being one of the most popular messaging apps in the world, allows direct and efficient interactions with customers. However, when it comes to automation and integration, using the WhatsApp API becomes essential.

So, there are two main options for this integration: the Official WhatsApp Business API and the Unofficial APIs. But which one should you choose? 

In this article, we’ll explore the differences, advantages, disadvantages, pricing models, and costs to help you make the best decision for your project. Keep reading and find out which WhatsApp API makes the most sense for your business!

Types of WhatsApp available on the market: discover the options

types of whatsapp available in the market

Before we talk about WhatsApp APIs, it is important to understand the three main types of WhatsApp available:

Personal WhatsApp

WhatsApp Personal is the traditional version of the app, used by billions of people around the world. Intended for individual users, it does not include business-oriented features or automation.

WhatsApp BusinessVersion 

Version aimed at small and medium businesses. This version has features such as a product catalog, automatic messages and business profiles, but still relies on manual interactions. 

Furthermore, it allows the simultaneous use of two numbers on the same device, one in the personal application and the other in the Business application, in a completely legal manner and in line with Meta's guidelines.

WhatsApp Business API

Unlike previous versions, WhatsApp Business API is not an application, but a cloud-based solution that allows WhatsApp integration to different systems, enabling automation and personalization of interactions.

Companies that manage a large volume of messages use this API to optimize communication with customers, ensuring efficiency and scalability. With this solution, it is possible to:

  • automate the sending of messages and notifications;
  • to create chatbots for customer service;
  • integrate WhatsApp with CRMs, ERPs and other business platforms;
  • use artificial intelligence to personalize interactions.

How does the WhatsApp Business API work?

The WhatsApp Business API acts as a bridge between different systems, allowing softwares to communicate automatically. Since it is not an application installed on the cell phone, the entire operation takes place in the cloud, ensuring scalability and reliability for companies that need high-performance communication.

Although initially aimed at developers, today there are several solutions that simplify the implementation of the WhatsApp Business API, making it accessible to companies of different sizes.

Now that we understand the concept, let's explore the differences between the Official WhatsApp API and Unofficial WhatsApp APIs.

Official API vs. Unofficial API: Know the main differences

official api vs unofficial api differences

Businesses can choose between two types of WhatsApp API for integration:

  • Official WhatsApp Business API (provided directly by Meta or licensed companies);
  • Unofficial APIs (provided by third parties, without any connection to Meta, but within the law).

Next, we will understand the main differences between them.

Official WhatsApp Business API

The Official WhatsApp Business API is provided by Meta (Facebook) itself or by licensed companies. Meta recently began offering this service directly to end users, without the need for licensed intermediaries. 

This API can be integrated directly via Facebook's Business Manager (BM), ensuring security and compliance with Meta's policies. Among the main features of the Official API:

  • integration via Facebook Business Manager;
  • mandatory use of pre-approved message templates to start conversations;
  • billing based on conversations initiated;
  • restriction on sending messages outside of Meta's rules;
  • lower risk of blocking, as long as you follow the guidelines/

Please note that Meta does not allow unrestricted sending of messages. To start a conversation, it is mandatory to use approved message templates, ensuring that the contact complies with WhatsApp policies. The template categories are:

  • marketing: promotions, coupons and offers;
  • utility: order confirmations, delivery tracking;
  • authentication: sending verification codes;
  • service: user-initiated messages at no additional cost.

After the first template is sent, the conversation can continue normally for up to 24 hours without the need for a new template.

And how does billing work on the Official API?

The pricing for the Official WhatsApp API is based on conversations initiated and varies depending on the message category:

  • marketing messages: about R$ 0.36 per conversation started;
  • utility messages: approximately R$ 0.04 per conversation initiated;
  • authentication messages: around R$ 0.015 per conversation initiated;
  • client initiated messages: at no additional cost.

Other important points about billing include the 24-hour validity for each conversation initiated by the company, which means that if it is necessary to continue the interaction after this period, a new paid template will be required. 

Additionally, starting in April 2025, authentication and utility messages sent within this 24-hour window will no longer be charged.

Unofficial APIs

Unofficial APIs are solutions offered by third parties, with no direct relationship with Meta. Although they are not licensed, many of these APIs are completely legal and follow security standards. The main characteristics of Unofficial APIs include: 

  • simplified integration via QR Code;
  • allows sending messages without the need for pre-approved templates;
  • fixed price per integrated WhatsApp number;
  • greater flexibility for shipping and automation;
  • higher risk of ban in case of spam or inappropriate use.

Unlike the Official API, which requires template approval and follows strict rules, Unofficial APIs allow messages to be sent freely, without category restrictions or prior approval. This allows for more dynamic contact with customers, ideal for companies that need freedom in communication.

And how does the billing work? Unofficial APIs?

The pricing of Unofficial APIs varies depending on the provider. Some operate with fixed monthly plans, while others charge per connected WhatsApp number.

  • some companies offer plans starting from R$99 per integrated WhatsApp number;
  • others offer packages for multiple numbers, reducing the cost per account;
  • There are open-source options, which can be used free of charge, but require their own infrastructure.

Despite the freedom offered by Unofficial WhatsApp APIs, it is essential to consider the risks involved. Since there is no direct link to WhatsApp, these APIs are more prone to blocking, especially when used for mass sending without the proper consent of users.

Furthermore, Meta support and warranty are not available, which means that any technical issues or blockages will depend solely on the API provider.

Sending messages without the recipients' authorization can also result in restrictions, compromising the company's continued communication with its customers.

So which API to choose?

which whatsapp api to choose

Choosing between the Official WhatsApp API and Unofficial WhatsApp APIs depends on your business needs. While the Official API provides greater security and compliance, Unofficial APIs offer more freedom and predictable costs.

Evaluate your options based on your message volume, need for automation, and level of risk you are willing to take.

To learn more about automation and other efficient strategies for integrate chatbots, automatic notifications and artificial intelligence to your business, explore more at our YouTube channel and in the NoCode StartUp website.

Artificial intelligence is transforming the way we interact with technology, and AI agents are one of the most powerful advancements in this area. However, to make these agents truly effective, it’s essential to train them with data specific to your business.

In this article, we will explore how to create an AI agent using the RAG technique (Retrieval-Augmented Generation) to train models with custom information. You will learn three practical ways to implement this in your own project. 

Ready? Happy reading! 

What is an AI agent and how does it work with RAG?

What is an AI agent and how does it work?

Before we get into the practical part, it is important to understand the concept of an AI agent and how it can be improved using RAG.

Basically, an AI agent is a system that can interpret commands, process information, and generate responses autonomously. To do this, it needs three fundamental elements:

  • AI model: the agent is based on models such as GPT, Llama or Claude, responsible for interpreting and generating text based on learned patterns;
  • Base prompt: these are the instructions that define how the agent should behave and structure its responses;
  • memory: essential for AI to remember previous interactions. Some agents have both short-term and long-term memory, allowing the conversation to continue.

In addition to these features, an AI agent can be even more efficient when using the RAG (Retrieval-Augmented Generation) technique, as we mentioned earlier. This means that, instead of relying exclusively on the model's prior knowledge, it can query external databases, such as documents, PDFs, Notion pages, or spreadsheets. 

In this way, an agent trained with RAG becomes an expert in specific content, ensuring more precise and contextualized responses.

Method 1: Creating an agent with Dify

method 1 creating an agent with dify

Now that you understand the basics, let's get to the practical part: how to create an AI agent trained with your own data!

One of the easiest and most effective ways to create a RAG-trained agent is by using Difyi. This tool allows you to integrate knowledge bases into your assistant quickly and intuitively.

To train your agent at Dify, follow the step by step below:

  • access the “Knowledge Base” tab within the Dify platform;
  • upload your documents, such as PDFs, HTML files, spreadsheets or web pages;
  • Dify processes the files and transforms them into numeric vectors, converting the textual content into a format that AI can interpret efficiently.

This process is known as embedding, in which the tool structures the data on a vector basis, allowing the AI to search and retrieve the most relevant information whenever a question is asked.

Additionally, Dify makes it easy to create virtual databases by organizing knowledge into chunks of information. This way, when a user asks the agent a question, the agent quickly identifies which chunk of text best fits the desired answer.

With Difyi, you can create specialized agents for different purposes, such as:

  • customer support assistants, who access FAQs and technical manuals;
  • customer service chatbots, which answer questions about products and services;
  • sales agents, which use strategic information to personalize approaches.

The best part? Dify automates this entire process behind the scenes, making implementation simple and practical.

Method 2: Creating an agent with OpenAI Assistants and RAG

method 2 creating an agent with openai assistants

Another efficient way to train an AI agent with RAG is to use OpenAI Assistants. This solution allows you to create custom assistants, define specific behaviors, and incorporate documents so that the AI can query and respond accurately.

Unlike Dify, which automates much of the process, OpenAI offers greater control over the agent’s settings. To create your assistant using this tool, follow the steps below:

  • access the OpenAI platform and go to the “Assistants” tab;
  • create a new wizard, defining a name, description and specific instructions;
  • choose an AI model, such as GPT-4 Turbo, to ensure more complete and contextual answers;
  • Upload files that he will use as reference, such as technical manuals, internal documents, or knowledge bases.

When documents are added to the platform, OpenAI transforms this content into a vector database. This way, the agent can consult the information whenever necessary, without relying solely on the model's pre-trained knowledge. 

This allows it to provide more personalized and up-to-date responses without requiring a complete AI re-processing. Additionally, OpenAI manages all the infrastructure needed to store and retrieve this information, making it easy to implement for those who don’t want to set up their own database.

One of the main advantages of this approach is its ease of implementation, as OpenAI takes care of the technical part, making the process simple and intuitive. In addition, the model guarantees high accuracy, combining the power of GPT-4 Turbo with specific information about your business, making the assistant much more effective. 

If your goal is to create a specialized AI agent without having to set up an advanced technical environment, OpenAI Assistants can be a great choice.

Method 3: Creating an agent with N8N and Supabase

method 3 creating an agent with n8n and supabase

The third way to create an AI agent trained with RAG is by using the integration between N8N and Supabase. This approach allows greater control over the data and optimizes the search for relevant information within the vector database.

While tools like Dify and OpenAI Assistants simplify the process, using N8N in conjunction with Supabase offers more versatility and reduces operational costs by allowing the framework to be fully configured and managed within your own environment.

To create an AI agent trained with this combination, follow the steps below:

  • configure the vector database in supabase to store the reference documents;
  • upload the files that the agent will use as a knowledge base, such as manuals, FAQs or technical ebooks;
  • integrate Supabase with N8N to enable AI to query data and provide contextualized answers;
  • develop automated flows in N8N to structure agent interactions with users;
  • optimize agent responses by ensuring that they can access the most relevant blocks of information within the database.

But why use N8N and Supabase? with RAG?

Unlike other solutions, this approach allows for an advanced level of customization and control over the vector database. When a user asks the agent a question, it fetches the most relevant vector of data from Supabase, ensuring that the answer is based on the stored documents.

Additionally, N8N allows you to connect the AI agent to different applications, such as Whatsapp, Slack and Google Drive, expanding the possibilities of use and automation. This flexibility makes the model ideal for companies that need a highly specialized agent.

Among the main advantages of this implementation, the following stand out:

  • greater control over datas, allowing adjustments and customizations as needed;
  • cost reduction, as Supabase replaces paid solutions for vector storage;
  • advanced automation, with intelligent flows and integrations in N8N;
  • scalability, allowing the knowledge base to grow according to business needs;
  • greater efficiency, as the agent accesses information directly from the vector database, without relying solely on the AI model.

If you are looking for flexibility and cost reduction, N8N + Supabase is a powerful solution for training specialized AI agents with RAG.

Conclusion

Training an AI agent with your own data is an essential strategy for obtaining more accurate responses aligned with the context of your business. With RAG, you can transform internal files and documents into structured knowledge for AI, optimizing processes and improving the user experience.

If you want to dive deeper into the topic and learn how to create your own AI agents, check out the complete N8N course at NoCode Startup and take your automation to the next level!

Imagine you have a super-intelligent assistant trained based on all the knowledge available on the internet. However, when it comes to information specific to your business, it may not have direct references. So, how do you overcome this limitation?

One of the most effective ways to improve your assistant's intelligence is to train it with custom data, such as documents, articles, and internal files. 

This technique is known as RAG (Retrieval-Augmented Generation) and allows AI assistants to combine pre-existing knowledge with specific information to provide more accurate and useful answers.

Continue reading to better understand how this approach can transform the use of AI in your business.

How does RAG (Retrieval-Augmented Generation) work?

How does RAG work?

Now that we understand the concept of RAG (Retrieval-Augmented Generation), let's explore how it works in detail. 

Unlike traditional AI assistants that simply generate answers based on previously trained knowledge, RAG searches for information from external sources and combines that data with its prior knowledge to provide more accurate and relevant answers. 

The process can be divided into three main steps:

Ask the AI model

The user asks the AI assistant a question, just as they would in ChatGPT or another traditional chatbot.

Information Search (Retrieval)

The AI assistant queries a specific database, such as PDFs, websites, internal documents, or a business knowledge base. It retrieves the most relevant information to answer the question.

Augmented Generation

With the data retrieved, AI refines and structures the response by combining information from the knowledge base with its own linguistic model. This ensures a contextualized, accurate and relevant response.

This method is highly efficient as it allows AI to provide more personalized responses based on internal data. Additionally, the technology can leverage product documentation, support knowledge bases, and even company policies to ensure accurate and relevant information.

how does rag generation increase work

However, unlike a conventional chatbot, which responds based only on its original training, a RAG model can be constantly updated with new information, without the need for massive retraining.

In other words, this allows the AI to be highly dynamic and evolve progressively as new content is added, ensuring greater accuracy and relevance in responses.

For example, within the NoCode community, we provide assistants that use RAG to answer questions about tools such as make up, Diff, N8N and Bubble.

Furthermore, these assistants have been trained with specific documentation for these platforms, which allows them to provide even more detailed and accurate answers to students, thus facilitating learning and resolving technical queries.

5 Benefits of using RAG

Benefits of using RAG

Now that you understand how RAG works, let's explore the main benefits that this technology can bring to companies and users:

1. More accurate and contextualized responses

RAG enables AI assistants to query up-to-date information in real time, making responses more relevant and detailed.

2. Automation and efficiency

With the ability to access specific knowledge bases, AI reduces the need for constant human support, optimizing time and resources.

3. Continuous learning without the need for retraining

Unlike traditional AI models, which need to be constantly trained and retrained to learn new information, RAG can simply query updated databases.

4. Customization for different businesses

Companies can tailor AI to answer industry-specific questions by training the assistant with technical manuals, internal knowledge bases, and other relevant documents.

5. Applying RAG in customer support

In addition to academic and educational use, companies across a variety of sectors are using RAG to improve customer support.

Imagine a technology company that sells complex softwares. Customers frequently contact support with questions about specific features. 

With an AI assistant trained with RAG, a company can feed the AI with its internal knowledge base, technical manuals, and FAQs. This allows the agent to answer questions accurately and quickly, helping to reduce the need for human intervention and streamline customer support.

How to apply RAG in your business?

Companies from different segments can take advantage of this technology to improve internal processes, customer service and task automation. Below, check out some practical strategies for applying RAG to your business.

1. Identify your company's main needs

Before integrating RAG, evaluate which areas of your business can benefit from this technology. Ask yourself the following questions: 

  • Does customer support receive a lot of repetitive questions?
  • Does your team need to access technical documents frequently?
  • Is there a large database that could be better utilized?
  • Could internal training be optimized with an AI assistant?

2. Choose the right data sources

The great advantage of RAG is its ability to search for information from external sources. To ensure accurate and reliable answers, it is essential to select the best data repositories. Some options include:

  • technical documentation and product manuals;
  • FAQs and internal knowledge bases;
  • articles, research and case studies;
  • structured data from CRMS and ERPS;
  • pdf files, spreadsheets and notion.

3. Integrate RAG with your existing tools

For best results, RAG should be connected to the platforms your team already uses. Some ways to integrate include:

  • Chatbots and virtual assistants: AI trained to answer recurring questions and provide technical support;
  • Management systems (CRM/ERP): AI can access customer data to provide more personalized responses;
  • E-learning and corporate training: intelligent assistants that help employees access learning materials quickly;
  • E-commerce and customer service: chatbots that check inventory, return policies and product recommendations.

4. Evaluate and optimize 

Implementing RAG doesn’t end with the initial setup. It’s essential to monitor AI performance by analyzing metrics such as:

  • response accuracy rate;
  • user satisfaction;
  • reduction of service time;
  • most frequently asked questions and opportunities for improvement.

With this information, you can improve the AI database and ensure that the answers become increasingly accurate.

Conclusion

Whether it’s to improve customer support, automate processes or optimize internal knowledge management, RAG is a powerful and affordable solution for companies in different segments. 

With this technology, AI agents can access specific knowledge bases, improve the user experience and reduce the need for extensive training.

If you want to learn how to create intelligent AI assistants using N8N, check out NoCode Startup's complete course. In it, you will have access to practical training on automation and data integration to make your business' AI even more efficient.

Explore more about the N8N Course – NoCode Startup and start transforming your company with artificial intelligence! 

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