ZBrain Documentation
  • ZBrain Documentation
    • Components of ZBrain
    • Getting started with ZBrain
    • 📚Knowledge base
      • How to create a knowledge base?
      • Knowledge source
      • Information schema
      • File summary
      • Automated reasoning
      • Retrieval testing
      • Knowledge base settings
    • 📱APP
      • How to create a new app?
      • How to set up and customize your app?
      • How to access the app reporting dashboard?
    • 🤖ZBrain AI agents
      • Get started with agents on ZBrain
      • Deploying pre-built agents
      • Creating custom AI agents
        • Agent setup
        • Define input sources
        • Define Flow
          • Key elements of a Flow
          • Flow Components
            • Activepieces Platform
            • AITable
            • Airtable
            • Amazon S3
            • Amazon SNS
            • Amazon SQS
            • Amazon Textract
            • Apify
            • Apollo
            • Approval
            • Asana
            • Azure Communication Services
            • Azure Cosmos DB
            • Azure Document Intelligence
            • Azure OpenAI
            • Azure Translation
            • Bannerbear
            • Baserow
            • Beamer
            • Bedrock Claude
            • Bettermode
            • Binance
            • Bing Search
            • Blackbaud
            • Bonjoro
            • Box
            • Brevo
            • Brilliant Directories
            • Bubble
            • CSV
            • Calendly
            • Certopus
            • Clearout
            • Clockodo
            • Code
            • Confluence
            • Connections
            • Constant Contact
            • Contiguity
            • Contentful
            • Customer.io
            • Crypto
            • Databricks
            • Data Mapper
            • Date Helper
            • DeepL
            • Delay
            • Discord
            • Discourse
            • Drip
            • Dropbox
            • Dust
            • Facebook Pages
            • Figma
            • Files Helper
            • Flowise
            • Flowlu
            • Formbricks
            • Frame
            • Freshdesk
            • Freshsales
            • GCloud Pub/Sub
            • GenerateBanners
            • GhostCMS
            • GitHub
            • GitLab
            • Gmail
            • Google Calendar
            • Google Contacts
            • Google Docs
            • Google Drive
            • Google Forms
            • Google Gemini
            • Google My Business
            • Google Search
            • Google Search Console
            • Google Sheets
            • Google Tasks
            • Groq
            • Hacker News
            • Heartbeat
            • HubSpot
            • HTTP
            • Image Helper
            • Inputs
            • Instagram for Business
            • Intercom
            • Invoice Ninja
            • Jira Cloud
            • Jotform
            • Kimai
            • Kizeo Forms
            • LeadConnector
            • Line Bot
            • Linear
            • LinkedIn
            • LinkedIn Actions
            • LLMRails
            • Lusha
            • MailerLite
            • Mailchimp
            • Mautic
            • Microsoft Dynamics 365 Business Central
            • Microsoft Dynamics CRM
            • Microsoft Excel 365
            • Microsoft OneDrive
            • Microsoft Outlook Calendar
            • Microsoft Teams
            • Mixpanel
            • MongoDB
            • Notion
            • Odoo
            • OpenAI
            • OpenRouter
            • Pastebin
            • PDF
            • Postgres
            • PostHog
            • Pushover
            • Qdrant
            • Queue
            • Razorpay
            • Router
            • Salesforce
            • SendGrid
            • ServiceNow
            • SFTP
            • SharePoint
            • Slack
            • SMTP
            • Snowflake
            • SOAP
            • Spotify
            • Stability AI
            • Stable Diffusion Web UI
            • Storage
            • Stripe
            • SurrealDB
            • SurveyMonkey
            • Taskade
            • Telegram Bot
            • Text Helper
            • Trello
            • Twilio
            • Twitter
            • Utilities
            • WhatsApp Business
            • WordPress
            • XML
            • YouTube
            • ZBrain
            • Zendesk
            • ZeroBounce
            • Zoho Books
            • Zoho CRM
            • Zoho Invoice
            • Zoom
          • How to Define a Flow?
          • How to Test Each Step in the Flow?
        • Configure Additional Settings
        • Test and Deploy Agents
        • How to access, monitor, and manage agent performance and tasks?
    • Settings
    • 📖API Tutorials
      • 📚Knowledge base
        • Automated Reasoning
      • 📱APP
      • 🤖Agents
Powered by GitBook
On this page
  1. ZBrain Documentation
  2. Knowledge base

Information schema

PreviousKnowledge sourceNextFile summary

Last updated 4 days ago

The information schema is used to create structured data from unstructured data like PDF files, text files etc. This structured information provides insights into important information from large files with the help of LLM models, which can be used for decision-making and querying the bot.

The steps to create and use information schema are as follows -

  1. From the available knowledge bases, select one to create an information schema.

  2. Navigate to the Information Schema tab and click the ‘+Add New’ button.

  1. Click on the ‘+ Add New’ button to open a panel. Here, you can enter a new schema name, select the desired LLM, and choose one of the following options:

    • Fill the column against every page in the file

    • Fill the column against every chunk in the file

    Select your preferred option and click ‘Add’ to proceed.

  1. Click the ‘+’ button to add the column details you want to extract from the unstructured data. In the panel, provide a column name, choose the data type (either text or integer), and enter a prompt to retrieve the data. Once you've entered all the details, click Add. If needed, you can add multiple columns by clicking the ‘+’ button for each one.

  1. Click the ‘Run Schema’ button at the top right to execute the information schema you have created. Once the run is completed, you can view the results. With the information schema results, you will be able to query data using both the knowledge base and the newly created information schema.

  1. Click the ‘Delete Schema’ button to remove the schema you created.

📚