In the Vector Shift no-code builder, you can now leverage a new set of nodes called "Conversational Nodes" to create sophisticated chatbots with fine-grained control over the conversation flow. Unlike standard pipelines that automatically flow from input to output, Conversational Nodes allow you to define exactly what happens at every stage of the conversation.

Let's dive into an example and build a simple lead collection chatbot:

1. Start the Conversation: Begin by clicking on the "Conversational" option to create a new conversational pipeline. You'll see the "Start" flag, which marks the beginning of the conversation.

2. Ask for Name and Email: Use the "Message" node to ask the user for their name, and then capture their response using a "Capture" node. Repeat the process to collect the user's email address.

3. Store the Lead Data: Integrate a Google Sheets node to add the collected name and email to a spreadsheet, ensuring the data is neatly organized.

4. Engage with the User: Add another "Message" node to ask the user "How can I help?", and then use a "Capture" node to wait for their question.

5. Provide Answers with AI: Leverage a Vector Shift knowledge base and a chatbot to generate a relevant response to the user's question, based on the provided context.

6. Enable Looping: Create a loop that allows the user to ask additional questions, seamlessly transitioning back to the "How can I help?" message.

7. Deploy the Chatbot: When you're satisfied with your chatbot, click "Deploy Changes" and export it. You can then embed the chatbot directly on your website or use it within a conversational interface.

The power of Conversational Nodes lies in their ability to provide a highly customizable and deterministic flow for your chatbot conversations. By defining each step explicitly, you can create complex, multi-stage interactions that blend AI-powered responses with structured, rule-based logic. This approach empowers you to build chatbots that truly cater to your users' needs.

The conversational nodes in the Vector Shift no-code builder provide a unique and powerful way to define and control the flow of a conversational experience. Unlike the standard input-to-output pipelines, the conversational nodes allow you to precisely dictate what happens at each stage of the conversation.

The key components of the conversational node ecosystem are:

1. Start Flag: This defines the beginning of the conversation.

2. Talk Nodes: These nodes allow you to send messages, images, cards, or carousels to the user at specific points in the conversation.

3. Listen Nodes: These nodes capture the user's response, whether it's text input or button clicks, and store it for later use.

To build a simple lead collection chatbot, you can use the following flow:

1. Start with a Message Node to ask the user for their name.
2. Connect a Capture Node to wait for the user's response.
3. Follow up with another Message Node to ask for the user's email.
4. Use another Capture Node to collect the email.
5. Integrate a Google Sheets Node to add the collected name and email to a spreadsheet.
6. Add a Message Node to ask the user "How can I help?".
7. Connect a Capture Node to wait for the user's question.
8. Integrate a Knowledge Base Node to provide a relevant response based on the user's question.
9. Use a Message Node to display the response to the user.
10. Create a loop back to the "How can I help?" node to allow the user to ask additional questions.

To deploy the chatbot, simply click the "Deploy Changes" button, export the chatbot, and embed the provided script or iframe on your website. The conversational chatbot can also be used within a chat GPT-style interface.

The conversational node ecosystem in Vector Shift provides a flexible and powerful way to build complex, deterministic conversational experiences, seamlessly integrating AI-powered responses with predefined message flows.

To build a lead collection chatbot using the new Conversational Nodes in Vector Shift, follow these steps:

1. In the Vector Shift no-code builder, select the "Conversational" option to access the new Conversational Nodes.

2. Start by adding a "Message" node, which will display the initial message to the user, such as "What is your name?".

3. Connect the "Start" flag to the "Message" node to begin the conversation.

4. Add a "Capture" node to wait for the user's response, which will be the user's name.

5. Follow up with another "Message" node to ask for the user's email, and connect it to another "Capture" node to collect the email address.

6. To store the collected information, use a "Google Sheets" node to add a new row with the name and email captured in the previous steps.

7. Add another "Message" node to ask the user "How can I help?", and connect it to a "Capture" node to wait for the user's question.

8. Create a new Knowledge Base and connect it to the "Capture" node to retrieve the relevant information to answer the user's question.

9. Add a "Message" node to display the AI-generated response from the Knowledge Base to the user.

10. To allow the user to ask additional questions, create a loop by connecting the "Message" node back to the "How can I help?" step.

11. Finally, deploy the chatbot by clicking "Deploy Changes" and exporting it with a custom name and message delay settings.

This step-by-step guide demonstrates how to leverage the new Conversational Nodes in Vector Shift to build a lead collection chatbot with a seamless, conversational flow. By defining the conversation at each step, you can create more complex and personalized chatbot experiences for your users.

In the example provided, we demonstrate how to seamlessly integrate the conversational chatbot with Google Sheets to automate the collection and storage of user data. This powerful feature allows you to capture valuable information, such as user names and email addresses, and directly populate them into a Google Sheet for easy access and further processing.

The key steps involved are:

1. Connecting the "Capture" nodes to the Google Sheets node, which enables the chatbot to pass the collected user data (name and email) into the corresponding columns of the Google Sheet.
2. Configuring the Google Sheets node to specify the target spreadsheet and columns, ensuring the data is accurately stored.
3. Integrating the Google Sheets functionality seamlessly within the conversational flow, allowing the chatbot to gather the information and immediately record it in the spreadsheet.

This integration streamlines the lead collection process, eliminating the need for manual data entry and ensuring the information is securely stored for future reference or analysis. By automating this process, you can focus on providing a seamless and engaging conversational experience for your users while efficiently capturing and organizing their details.

The conversational chat nodes in the Vector Shift no-code builder allow you to define precisely what happens at each stage of a conversation. Unlike standard chatbots that flow automatically from input to output, these nodes enable you to control the flow of the conversation, seamlessly integrating AI-powered responses when needed.

With the message and capture nodes, you can craft a conversational experience that starts by gathering user information, such as name and email, and then transitions into an AI-powered chatbot. The knowledge base integration allows you to provide contextual responses to user questions, drawing from the information you've curated.

The ability to loop back to specific points in the conversation empowers you to create dynamic, multi-faceted dialogues. Users can ask follow-up questions, and the chatbot can respond accordingly, providing a more natural and engaging interaction.

Deploying these conversational chatbots is straightforward, with options to embed them directly on your website or utilize the standalone chat interface. The message delay feature allows you to fine-tune the pacing of the conversation, ensuring a smooth and natural flow.

Elevate your customer interactions with the power of AI-driven responses, enabled by the versatile conversational chat nodes in Vector Shift. Unlock new possibilities for engaging and informative conversations that leave a lasting impression.

To deploy your conversational chatbot, follow these simple steps:

1. Click the "Deploy Changes" button to save your chatbot configuration.
2. Go to the "Export" section and select "Chatbot" to generate the deployment code.
3. You can now give your chatbot a name, such as "May 1st Chatbot".
4. Adjust the "Message Delay" setting to control the time between each message in the conversation (e.g., 500 milliseconds).
5. Click "Export" to generate the necessary code to embed your chatbot on your website.
6. You can either use the provided script tag or the iframe code to seamlessly integrate your chatbot into your website.

Your conversational chatbot is now ready to be deployed and used by your customers. The flexible design allows you to customize the flow of the conversation, inject AI-powered responses, and create a unique user experience tailored to your needs.

The conversational chat nodes in the Vector Shift no-code builder provide a powerful and flexible way to create sophisticated chatbots. By allowing you to define the exact flow of the conversation, you can build deterministic flows with AI-powered responses at specific points. This enables you to create more engaging and personalized chatbot experiences for your users.

The example showcased in this session demonstrates how you can build a lead collection chatbot that captures a user's name and email, stores the information in a Google Sheet, and then transitions to an AI-powered conversational flow where the user can ask questions and receive relevant responses. The ability to loop back to specific points in the conversation flow is a key feature that allows for more dynamic and natural conversations.

Overall, the conversational chat nodes in Vector Shift offer a unique and powerful tool for building advanced chatbots that can seamlessly integrate with your existing workflows and data sources. By leveraging this feature, you can create more effective and engaging customer experiences, streamline lead generation, and automate various conversational tasks within your business.