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CogniVis AI
  • Getting started
    • Add your LLM
    • Add your source
    • Document sets
    • Assistants
    • Generators
    • Providers
    • User management
  • Connectors
    • Airtable
    • ClickUp
    • CogniVis Docs
    • Confluence
    • Discourse
    • Document360
    • Dropbox
    • File
    • GitHub
    • GitLab
    • Gmail
    • Google Calendar
    • Google Drive
    • Google Sites
    • Google Storage
    • Guru
    • HubSpot
    • Jira
    • Linear
    • MediaWiki
    • Notion
    • ProductBoard
    • R2
    • Request Tracker
    • S3
    • Salesforce
    • SharePoint
    • Slack
    • Teams
    • Web
    • Wikipedia
    • Zendesk
    • Zulip
  • Plugins
    • Google Analytics
    • Search Console
  • Automations
    • Simple reminders
    • Page change monitor
    • Google Analytics monitor
    • Search console monitor
    • Custom sources
  • Message bots
    • Chat widget setup
    • Slack bot setup
  • WhatsApp Bot
    • Overview
    • Adding WA bot to a group
    • Enabling private conversations
  • FAQ

How to Add your LLM

Integrating a Language Learning Model (LLM) into CogniVis is a pivotal step in customizing the AI to suit your specific needs. Adding your LLM allows you to leverage its unique capabilities directly within the platform, enabling more nuanced interactions, advanced automation, and tailored insights. With your LLM in place, you can optimize CogniVis to align with your organization’s goals and data-driven strategies.

Go to an Admin Panel, which you can find in the upper right corner of the screen.

Go to the “LLM” section in the menu on the left side of the screen.

Select a new LLM provider from the default list or set up your own customized LLM provider.

When adding a new LLM provider, provide the required information.

You will find all the necessary information on the website https://docs.litellm.ai/docs/providers .

To configure your own custom LLM provider, you need to provide:

  • The name of your LLM
  • The provider's name
  • Optional details:
    • API key
    • API base
    • API version
    • Custom configurations
  • Model names
  • Default model
  • Model for lighter workflows

After adding a new LLM provider, you can set it as the default and also edit it.

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