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How to get started with Google Dialogflow Chatbot?

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Google Dialogflow Chatbot is an AI+ML designed Chatbot that can train the model and return the output according to the user’s requirements. It is a simple, easy, and end-to-end AI + ML trained Chatbot for beginners.

What’s Next!

In this Google Dialogflow Chatbot tutorial, we will explore the term Google Dialogflow. Start from what Google Dialogflow is, moving around terms of what Google Dialogflow is, how Google Dialogflow works, how to access it, what are the basic functions and so on.

Table of Contents

What is Google Dialogflow Chatbot?


Google Dialogflow Chatbot is the platform that NLP i.e., Natural Language Processing integrated Chatbot, based on the training of AI + ML database. It means that the Chatbot is designed in a way in which it will understand the user’s query and return the best optimal answer. 

Since the Dialogflow is trained on technologies like AI + ML, Chatbot becomes more accurate and effective in returning the answer as it keeps trained on the data.

Google’s AI Dialogflow Chatbot stands for building an environment of Chatbots and conversation interfaces. Over time, its powerful features like training on technologies i.e., Artificial Intelligence, Machine Learning, and apart from integration capabilities have made it a popular choice for Dialogflow among developers and users.

What are the key features of the Google Dialogflow?

Let’s move toward the features of Google Dialogflow and explore how NLP is integrated with AI+ML to enhance the Chatbot interaction with the users.

  1. Natural Language Understanding (NLU): The NLU feature of Dialogflow enables Chatbots to interact with users by understanding their inputs like text, voice, etc., to come out with relevant and exact-depth answers. This makes it easy for Chatbot to build a one-to-one relationship with users.

  2. Intents and Entities: Dialogflow’s Intents refer to the exact query and action a user wants to pass as input to the Chatbot. On the other hand, Entities are the exact relevant parameters or values from the user’s query which allows Chatbot to understand the user’s query better and build a flow & smooth conversation flow. 

E.g., of User’s Intent:

Hi, I need help me my Bill Payment. 

E.g., of User’s Entities: 

My Bill number is 225678.

In both examples, both sentences are intent but in the 2nd example, the numerical value is the entities which is extracted.

  1. Contexts: The Contexts features of Dialogflow enable the Chatbot to manage the contexts or user’s query to synch across the whole conversation with the user. This helps to build a more natural conversational flow, that improves the overall conversation connection.

  2. Integration: Dialogflow’s integration features provide a smooth integration of Dialogflow’s Chatbot with other third-party services like Slack, Facebook Messenger, and Twilio. Along with REST APIs, developers can align the Chatbot to multiple channels in various fields.

  3. Analytics: To check metrics performance, Google Dialogflow provides Analytics features that make it easy to monitor the analytics insights like fallback triggers, user satisfaction, and user interactions. These analytic insights help developers to enhance Chatbot performance for better results.

  4. Multi-Lingual: Google’s Dialogflow supports more than 20 languages which enables the Chatbot to diverse fields for integration. This helps developers to understand the user’s interaction with the Chatbot to enhance further natural conversations. Also, provides the ability to the developers to build the Chatbot for a more global audience at a large scale.

How Does Dialogflow Work?

Google’s Dialogflow starts with taking the intents i.e., the user’s input through which it builds the connection between the conversations to return the appropriate response. But only taking intent is not enough to train the Chatbot to avail the right answers, here are a couple of factors that play an important role in the Dialogflow working procedure.

  1. Intents: An intent refers to the user’s input passed to the Chatbot in the form of a query or action that needs to be taken from the user side.

  2. Intent Detection: Next, Dialogflow analyses the user’s intent to understand the exact meaning behind the message. It matches the user’s input or query with the default intents defined by the developers.

  3. Entities Recognition: Dialogflow recognizes the entities (parameters) from the user’s input which are important for the intent to build the connection in text messages to understand the messages better. E.g., In the Bill Payment issues, the user can add bill amount, bill transaction serial no., bill date, etc.

  4. Response Generation: The response generation feature allows the Chatbot to understand the connection between the intents and entities to generate the response either using predefined or custom logic templates configured by the developers.

  5. Context Management: Context Management allows Dialogflow to manage the user’s messages across the whole conversation to build smooth follow-up in conversations.

  6. Integration: The integration feature enables Dialogflow Chatbot to easily integrate with third-party services such as apps, websites, etc., to build a smooth-running Chatbot in a minute.

What is the process of starting with Google Dialogflow?

There are a couple of steps to follow to get started with Dialogflow:

  1. Create a Dialogflow Agent: First of all, you need to sign in using the Google Account to create a new Dialogflow agent. An agent is a virtual agent that processes user requests.

  2. Define Intents and Entities: Intents and Entities are a major factor of Dialogflow. Defining the relevant intents and entities can make it easy for Chatbots to understand the conversations.

  3. Build Conversational Flows: Dialogflow uses the visual design interface to build a smooth conversation flow with users. Also, it guides users with Chatbot’s various features.

  4. Integrate with Your Application: Integration of Google’s Dialogflow using the REST APIs is the feature that enables the Chatbot to integrate easily with websites, apps, and other third-party platforms.

  5. Test and Iterate: The last comes is to test the Chatbot and how it performs on based guidelines and iterate its design based on user feedback and analytics.


Google Dialogflow is a helpful tool for enhancing conversational interfaces that can develop interactions among users and help the business grow professionally. It has natural language understanding capabilities with seamless integration options, Dialogflow allows users to build chatbots that are brilliant, helpful, efficient, and effective. Whether you need a customer service bot, a chatbot, or a virtual assistant for enhancing business activities, Dialogflow provides you with all the required tools and features that you might willing to get in your conversational AI ideas for your business as well as in your life.

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