Build an AI Chatbot that integrates email support
Updated: May 14, 2025
Summary
The video introduces a new conversational pipeline at Vector Shift, detailing options available to users and three types of mappings between inputs and outputs. It explains automating processes like sales proposals using triggers and pipelines, covering start flags, messages, and buttons within the chatbot interface. The process of requesting a demo is guided, including the use of branches for defining steps and entering booking URL. Additionally, it covers contacting customer support, capturing support inquiries, and responding within specific timeframes. A chat assistant is created to provide information from a knowledge base, utilizing a scrape URL, capturing responses, querying data, and presenting context-based responses using a large language model.
Introduction to Conversational Pipeline
Introducing a new conversational pipeline at Vector Shift, explaining the options presented to users at the beginning of a chatbot interaction, and discussing the three different types of mappings between inputs and outputs in Vector Shift.
Building Automations with Triggers and Pipelines
Explaining how to automate processes like sales proposals with triggers and pipelines in Vector Shift, covering the start flag on the map and the typical messages and buttons users encounter in the chatbot.
Handling Book a Demo Option
Guiding users through the process of requesting a demo, explaining the use of branches to define steps, entering the URL for booking a demo, and handling the path for booking a demo through emails.
Contacting Customer Support
Detailing the process of contacting customer support through email inquiries, capturing user emails and support ticket inquiries, sending confirmation emails, and responding to user inquiries within specific timeframes.
Creating a Chat Assistant
Creating a chat assistant to provide information from a knowledge base using a scrape URL, capturing responses, querying data, using a large language model, and presenting responses based on the captured context.
FAQ
Q: What is a conversational pipeline in Vector Shift?
A: A conversational pipeline in Vector Shift is a series of predefined steps and actions that guide users through interactions with the chatbot, such as presenting options, handling triggers, and automating processes like sales proposals.
Q: What are the three different types of mappings between inputs and outputs in Vector Shift?
A: The three different types of mappings between inputs and outputs in Vector Shift are direct mappings, conditional mappings, and dynamic mappings, allowing for flexibility in processing user inputs and generating appropriate responses.
Q: How can processes like sales proposals be automated in Vector Shift?
A: Processes like sales proposals can be automated in Vector Shift through the use of triggers and pipelines, where specific actions are initiated based on predefined conditions or interactions with users, streamlining tasks and improving efficiency.
Q: What is the purpose of the start flag on the map in Vector Shift?
A: The start flag on the map in Vector Shift indicates the beginning point of a user interaction flow, defining where the conversation or process should initiate and guiding users towards relevant information or actions.
Q: How is the process of requesting a demo handled in Vector Shift?
A: In Vector Shift, the process of requesting a demo involves guiding users through defined steps using branches, providing a URL for booking a demo, and managing the path for booking a demo efficiently, including email confirmations.
Q: What is the role of branches in defining steps within Vector Shift?
A: Branches in Vector Shift help define different pathways or actions within a conversation flow, allowing for the creation of structured sequences of interactions based on user inputs or specific criteria.
Q: How does Vector Shift handle the process of contacting customer support through email inquiries?
A: Vector Shift manages the process of contacting customer support through email inquiries by capturing user emails and support ticket details, sending confirmation emails, and ensuring timely responses to user inquiries as per specified timeframes.
Q: What is the function of a chat assistant in Vector Shift?
A: A chat assistant in Vector Shift serves to provide information from a knowledge base using a scrape URL, capturing responses from users, querying data, leveraging language models, and delivering responses based on the context of user interactions.
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