Summary
The video demonstrates building a chatbot on the Vector Shift platform by creating a new pipeline structure. It explains how the chatbot uses LM to formulate responses based on user queries and chat memory. Viewers are guided on connecting the knowledge base, Vector Shift, and adding relevant data for a seamless chatbot experience, with final steps including naming, exporting, and deployment options. The tutorial showcases the capabilities of Vector Shift, including data querying and sources, inviting users to seek assistance as needed.
Chapters
Introduction to Building a Website Chatbot
Input Node and Querying Knowledge Base
Formulating Responses and Output
Connecting Knowledge Base and Adding Data
Variables and Output Fields
Creating Input Node and Output Fields
Connecting Response and Output
Finalizing Pipeline and Exporting Chatbot
Using Vector Shift and Reaching Out
Introduction to Building a Website Chatbot
Explanation of building a website chatbot using the Vector Shift platform and creating a new pipeline structure for the chatbot.
Input Node and Querying Knowledge Base
Description of the input node querying a knowledge base, specifically about Vector Shift, in the chatbot pipeline.
Formulating Responses and Output
Explaining how the chatbot formulates responses based on user questions and chat memory using LM (Large Language Model) in the pipeline.
Connecting Knowledge Base and Adding Data
Instructions on connecting the knowledge base, Vector Shift, and adding relevant data about the Vector Shift homepage.
Variables and Output Fields
Details on using variables in Vector Shift to represent data and the output fields in the chatbot pipeline.
Creating Input Node and Output Fields
Guidance on creating the input node with the Variable Builder tool and connecting output fields like text and chat memory in the pipeline.
Connecting Response and Output
Explanation on sending responses from the LM back to the user, connecting message responses to the output, and streamlining text output.
Finalizing Pipeline and Exporting Chatbot
Final steps in completing the pipeline, naming and exporting the chatbot, and options for deployment like embedding into websites and using Slack.
Using Vector Shift and Reaching Out
Discussing the capabilities of Vector Shift, including citations, sources, and data, and encouraging users to reach out for assistance.
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