Optimize Contributed Knowledge

Contribute Knowledge allows you to save an Insight—an AI-generated message or conversation—directly into your database. Instead of storing it in the Insights section, the content is saved within a selected database, making it accessible to team members who have access to that database.

This method is ideal for collaborative work, ensuring that key insights are systematically stored and structured within a shared knowledge base. Additionally, team members who are subscribed to the database will receive email notifications about new contributions, keeping everyone updated without manual coordination. However, since databases undergo chunking, the information may be divided into smaller sections, which could slightly affect retrieval accuracy depending on the query.

Managing Knowledge

Contributed Knowledge can be managed in two ways. You can access it directly within the specific database where it was uploaded, or manage it centrally through the Admin page.

The Admin page provides a full overview of all contribution history, allows you to see which team members are subscribed to each database, and gives you control over the email notification content sent to users when new knowledge is contributed.

Tip: Create a separate folder within your database for Knowledge Contributions in order to organize and easily clean up old contributions

Best Practices

To ensure a scalable and effective use of this feature, follow these best practices to ensure consistency, accuracy, and ease of access for your team.

1. Use for Finalized or High-Value Insights: Save only high-quality, valuable AI responses that are worth sharing across the team. This avoids cluttering the database with exploratory or draft-level messages.

2. Review for Context Completeness: Since content may be broken into smaller sections due to chunking, ensure the saved message is self-contained and clear on its own or includes sufficient context for future retrieval.

3. Keep Contributions Organized: Regularly review and clean up outdated or duplicated contributions to maintain a streamlined and efficient knowledge base.

Use Cases

Below are sample use cases for Knowledge Contribution to help you explore how this feature can be applied effectively:

1. Team Knowledge Sharing: Save important AI-generated outputs, such as strategic ideas, summaries, or research findings, so others can easily access and build on them.

   1. Summarizing Legal Cases → Save AI-generated summaries and analyses of lengthy legal documents into the database, making it easier for team members to reference and cross-check relevant case information

2. Project Collaboration: Store key decision-making inputs or analysis generated during AI chats in a shared database to keep all project collaborators aligned and informed.

   1. Marketing Playbook → Contribute AI-generated marketing strategies, project guidelines, and brand messaging into the database to ensure consistent execution and alignment across the team.