Introduction
What is Zulip?
Zulip is a team collaboration tool that combines real-time chat with email-style threading, allowing users to organize conversations by topics. It's designed to help teams communicate more efficiently by keeping discussions focused and easily searchable, making it ideal for managing complex projects.
What is CogniVis AI?
CogniVis AI is a platform that enables you to pull data from different
sources and combine them with each other to
create practically useful AI tools. Sources may include
your internal company knowledgebase and a variety of
most popular business apps like GitHub, Jira, Slack,
and more.
This enables you to easily create
AI chatbot assistants (internal),
custom generators and even
embeddable AI chat widgets trained on your data.
How CogniVis AI works with Zulip?
The Zulip Connector integrates with your Zulip workspace, ensuring access to fundamental conversation data and basic user information.
What exact sources are pulled:
- Streams
- Stream name
- Stream ID
- Stream type (Public/Private)
- Topics
- Topic name
- Associated stream
- Messages
- Message content (in accessible streams)
- Sender name
- Timestamp
- Users
- User name
- User ID
Configuration
Generate a Personal Access Token
To connect CogniVis AI with Zulip, you need to add a new bot in Zulip. This token will be used to authenticate the connection between CogniVis AI and Zulip. See the detailed instructions in the Zulip interactive bots guide and Zulip configuring the python bindings guide.
Settings
Go to personal settings.
Add a new bot
In the sidenav, select Bots and then click Add a new bot.
- Name your bot something like "CogniVis Connector".
- Enter email bot.
- Optionally add a logo and press Add.
Generate a new token
Save the Bot's authentication info by copying the zuliprc contents.
Add the connector to CogniVis
Navigate to CogniVis Connectors
In CogniVis, go to Admin Panel, then in the sidebar choose Add connector. You will find the Zulip connector setup page there.
Open Zulip connector setup pageAdd zuliprc value
Paste the copied contents of zuliprc and press the update button.
Specify the workspace
Enter the values for the Realm and URL (highlighted in the first screenshot).
Free trial
If you are interested in creating your own automations and workflows with artificial intelligence based on your data, you can request a free trial of our solution. Please book a demo with us to get started.
book a demoOn-premise
Enterprise organizations can choose to deploy this connector on-premise. On-premise deployment provides additional security and privacy, it means that the connector will be hosted on your own servers which you can control and manage.
This option is suitable for organizations that have strict data privacy and security requirements, want to integrate with their existing infrastructure, or need to comply with specific local regulations.
Contact our team & learn about options of deploying this connector on premise.
book a demo learn more about on-premise aiUse cases
Check out potential benefits and use cases for this connector.
Efficient Project Management
AI can analyze conversations within streams and topics to highlight key points, deadlines, and action items. This centralized view helps project managers keep track of who is responsible for what and ensures that nothing falls through the cracks. Automated notifications can remind team members about upcoming deadlines.
Enhanced Knowledge Retrieval
With access to message content and user information, AI can quickly retrieve past discussions and decisions related to a specific topic or project. This makes it easier for team members to find relevant information without sifting through extensive chat histories manually.
Sentiment Analysis
AI can analyze the tone of messages to gauge team morale and identify potential issues before they escalate. For instance, frequent negative sentiment in messages might indicate team dissatisfaction or conflicts, allowing managers to address issues proactively.
Automated Summaries
AI can generate concise summaries of lengthy discussions in streams and topics, making it easier for team members to get up to speed on ongoing conversations. Summaries can include key points, decisions made, and any outstanding questions or tasks.
Intelligent Search
AI-enhanced search capabilities can make finding specific information within Zulip much more efficient. By understanding the context and relevancy of messages, AI can deliver more accurate search results, saving time and improving productivity.
User Activity Reports
AI can generate reports on user activity, such as participation levels in different streams and topics. This can help managers identify highly engaged team members or those who may need additional support or encouragement to participate more actively.
Automated Decision Tracking
AI can keep track of decisions made in discussions, linking them to the relevant topics and streams. This ensures that all decisions are documented and easily accessible, which is especially useful for long-term projects where decisions may need to be revisited.
Contextual Assistance
By pulling data from messages and user information, AI can provide contextual assistance to team members. For example, if a user asks a question that has been answered before, the AI can provide the previous answer or direct the user to the relevant discussion thread.
Cross-Functional Integration
Integrating Zulip with other business apps like Jira or GitHub through CogniVis AI allows for seamless data flow. AI can pull relevant data from these apps and correlate it with Zulip discussions to provide a holistic view of project progress and dependencies.
Personalized Notifications
AI can customize notifications based on user preferences and activity patterns. For instance, it can prioritize messages from certain streams or topics for a user and reduce notification noise, making it easier for users to focus on what’s most important to them.