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VECTORSHIFT

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 * VectorShift Platform Overview
 * Getting Started
    * Quick Start Guide
    * Video Tutorials
    * Primer on Generative AI

 * Example Pipelines
    * Chatbot
    * Document Search Assistant
    * Personalized Email Generator
    * Analyst
    * Common Pipeline Architectures

 * Platform
   * Pipelines
      * General
         * Inputs/Outputs
         * Text
         * Notes
         * File Save
     
      * Large Language Models (LLMs)
         * Tools
     
      * Knowledge Base
      * Data Loaders
      * Multimodal
         * Speech to Text
         * Text to Image
         * Image to Text
     
      * Logic
         * Map Node
     
      * Chat
         * Chat Memory
         * Data Collector
     
      * Data Types
   
   * Marketplace
   * Storage
      * Knowledge Base
      * Files
   
   * Automations
   * Chatbots
      * Creating a Chatbot
      * Customize your chatbot functionality
      * Export Chatbot - link, iframe, and API
      * Export Chatbot - WhatsApp / SMS
      * Chatbot Manager
   
   * Search
   * Agents
      * Agents Overview
      * Creating and Running an Agent
      * Agent Best Practices
   
   * Transformations
 * Developers
   * Overview
   * Access
   * API
      * Usage
      * API Endpoints
   
   * SDK
      * Getting Started
      * Walkthrough
      * Nodes
         * Node Classes
     
      * Pipelines
      * Integrations
      * Vector Stores
      * Automations
      * Agents
      * Configuration and Deployment
 * Account
   * My Profile
   * Organizations
   * Subscriptions
      * Personal Subscriptions
      * Organization Subscriptions
      * Credits
 * FAQ
   * Pipelines
   * Chatbots

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VECTORSHIFT PLATFORM OVERVIEW

An overview of the VectorShift Platform

VectorShift's platform allows you to design, prototype, build, deploy, and
manage generative AI workflows and automations across two interfaces: no-code
and code SDK. Example use cases:

   

 * Chatbots: Build a fully functional AI chatbot and embed it into your website.
   AI chatbots are able to respond to user queries and answer questions based on
   a knowledge base (e.g., product documentation, support articles, live-synced
   google drive).

   
   

 * Search: centralize and live-sync your data across your applications (e.g.,
   Google Drive, Slack, One Drive, etc.) in one knowledge base and perform
   search queries over all your data.

   
   

 * Automations: automate workflows end to end: schedule workflows to run at
   certain time intervals or allow certain triggers (e.g., email, slack message)
   to trigger the running of a workflow; have the VectorShift platform
   automatically perform actions (e.g., send an email, create a notion document,
   add data to an Airtable database).

   
   

 * Content Creation: Create marketing copy, personalized outbound emails, call
   summaries, proposals, and graphics at scale and in a predetermined format and
   style.

   
   

 * Workflow Automation: Replicate the logical thinking of a process by breaking
   down a task into sub-tasks and having different LLMs perform them.

   

VECTORSHIFT PIPELINE DASHBOARD

At the core of the VectorShift platform is a pipeline. Pipelines are AI
workflows. On the "Pipelines page", click "New" on the top left to create a new
pipeline.


TEMPLATES

This will bring up a modal that either allows you to "Create Pipeline from
Scratch" or to start from a template. You can filter on the different templates
categories with the buttons on the left.



For example, you can choose the template called "Customer Support Chatbot
template" to build a workflow that can automate customer support requests.

NO-CODE BUILDER

The no-code builder is comprised of three components:

   

 * Nodes: Nodes are found on the top bar and contain the tabs named "General",
   "LLMs", "Knowledge Base", etc. Nodes are components of AI workflows that
   perform various functions such as fetching data, performing actions, and
   leveraging LLMs.

   
   

 * Canvas: The canvas is where nodes can be connected to form a workflow.

   
   

 * Control bar: The control bar is on the top right. These allow you to "Deploy"
   a workflow to production, "Deploy as" your pipeline as a chatbot, automation,
   or search, "Run" the pipeline, or Name the workflow / share it with teammates
   (under "Details").

   



To operationalize this customer support chatbot pipeline, you can add relevant
data to the "Knowledge Base Reader" node. This node allows you to centralize
your data wherever it sits (e.g., files, Google Drive, Notion, etc.) to perform
semantic search over it (e.g., to find the most relevant pieces based on a
query). You can do this by either selecting an existing knowledge base through
the drop down menu, or creating a new knowledge base by clicking "Create New
Knowledge Base".

KNOWLEDGE BASE

Within the "Storage" tab, you can create a "Knowledge Base" that centralizes and
live-syncs to your data (e.g., Google Drive, OneDrive, Notion, Airtable). You
can then use knowledge bases within pipelines to perform semantic search and
return relevant information that LLMs can use.

Create a Knowledge Base by clicking on "New" within the "Storage" tab.





You can then "Add Documents" to the knowledge base including files, data from
"Integrations" (e.g., live sync to data within Google Drive, Airtable,
OneDrive), URLs, and more. Using the "Knowledge Base Reader" node within the
no-code builder will return the most relevant pieces across the knowledge base.

CHATBOTS

Pipelines can be deployed as Chatbots, which can be done by clicking on "Deploy
as" within the No-code Builder.

Once created, you can customize the functionality (e.g., suggested initial
prompts, Welcome Message) and UI (e.g., color).



You can export the chatbot via URL (with a ChatGPT inspired interface), embed
the chatbot directly into your website via an iFrame, as a WhatsApp / SMS bot,
as an API endpoint, or as a Slack App bot.



Finally, you can also Manage the chatbot and 1) view conversations, 2) see
Analytics (# of messages, AI cost, user feedback etc.), or 3) download collected
data.







AUTOMATIONS

Pipelines can be deployed as Automations, which can be done by clicking on
"Deploy" within the No-code Builder.

Automations allow you to run pipelines automatically. Here, you can schedule
workflows to run at certain time intervals (Cron) or allow defined triggers
(e.g., email, slack message, typeform message) to trigger the running of a
workflow.


SEARCH

Pipelines can also be deployed as a Search, which can be done by clicking on
"Deploy" within the No-code Builder.

Compare to chat, search has more of a focus in citations and has more of a
traditional search engine interface.















NextGetting Started

Last updated 2 months ago

On this page
 * VectorShift Pipeline Dashboard
 * Templates
 * No-code builder
 * Knowledge Base
 * Chatbots
 * Automations
 * Search