Wiki
What is Wiki?
Wiki is a sophisticated knowledge management tool designed specifically for AI applications. It allows organizations to manage verified knowledge, permissions, and proof behind every AI answer. Unlike traditional wikis that merely store information, Wiki Management for AI Applications governs what AI can access, who can view it, and the trustworthiness of the information. This ensures that AI-generated responses are based on accurate and reliable data, enhancing the overall performance of AI systems.
How to use Wiki?
- Sign Up: Visit the Wiki website at https://wiki.co/ and create an account to start managing your AI knowledge base.
- Set Permissions: Define who can access, edit, and view the information within your Wiki. This ensures that only authorized personnel can manage sensitive data.
- Upload and Organize Content: Add documents, articles, and other forms of knowledge to the Wiki. Organize them into categories for easy retrieval and management.
- Verify and Review: Regularly review the uploaded content for accuracy and relevance. Use the verification tools provided by Wiki to ensure the information is up-to-date and reliable.
- Publish Approved Knowledge: Once the content is verified, publish it so that your AI applications can utilize this trusted information for generating answers.
What are the main features of Wiki?
- Knowledge Management: Effectively manage and govern what AI can access and utilize for generating answers.
- Permissions Control: Set detailed permissions to define who can see and edit the information, ensuring security and compliance.
- Verification Processes: Implement verification layers to ensure that the content is accurate and trustworthy before it is used by AI.
- Answer Testing: Conduct tests on the answers generated by AI to ensure quality and reliability before they reach end-users.
- Document Publishing: Publish approved documents and knowledge seamlessly, making it accessible for AI applications in real-time.
Who is Wiki for?
Wiki is ideal for businesses and organizations that leverage AI technologies, such as chatbots and automated decision-making systems. It is particularly beneficial for teams responsible for managing AI applications, ensuring that they have access to accurate and verified knowledge. Additionally, it serves content creators, compliance officers, and data managers who require a structured approach to knowledge management and want to ensure that their AI systems operate effectively and reliably.
What are the use cases of Wiki?
- AI Chatbots: Enhance the accuracy of responses provided by chatbots by utilizing verified knowledge stored in the Wiki.
- Content Management: Organize and manage a large repository of documents and knowledge that can be accessed by AI models for better decision-making.
- Regulatory Compliance: Ensure that your AI applications comply with industry regulations by managing permissions and verifying content accuracy.
Wiki Pros and Cons
Pros
- Structured Knowledge Management: Wiki provides a structured approach to managing AI knowledge, ensuring that all information is verified and up-to-date.
- Prevention of Misinformation: With Wiki, AI applications can access verified sources, which helps to prevent misinformation and ensures consistent responses.
- Scoped Permissions for Security: Wiki allows for scoped permissions, meaning that different AI applications can access only the information they are allowed to, enhancing security.
- Accountability and Traceability: The platform provides a clear audit trail of knowledge ownership and review dates, which enhances accountability.
- Transparency with Citations: Wiki requires citations for every answer, ensuring transparency and trust in the information provided.
Cons
- Technical Knowledge Requirement: Users may need to have a certain level of technical knowledge to effectively manage permissions and verify sources within the platform.
- Integration Limitations: Wiki may have limitations on integration with certain AI applications or platforms, which could restrict its usability.
Wiki Pricing
Starter
For one team building a source of truth for one AI experience. Includes 1 workspace, 3 team members, 3 knowledge collections, 250 documents, 1 AI Application, 1 Docs Site, 250 Answer Playground runs per month, 25 evaluation test cases, 1 custom docs subdomain, Basic docs analytics, and Standard support.
Pro
Best for customer-facing AI. For teams managing customer-facing AI, answer testing, and documentation. Includes 3 workspaces, 10 team members, 20 knowledge collections, 2,500 documents, 5 AI Applications, 3 Docs Sites, 2,500 Answer Playground runs per month, 250 evaluation test cases, 3 custom docs subdomains, Advanced docs analytics, Priority support, and Advanced policy templates.
Team
For multiple AI Applications, Docs Sites, and governed knowledge workflows. Includes 10 workspaces, 30 team members, Unlimited collections (fair use), 15,000 documents, 20 AI Applications, 10 Docs Sites, 15,000 Answer Playground runs per month, 2,000 evaluation test cases, 10 custom docs subdomains, Enhanced audit retention, Enhanced analytics, and Team support.
For the latest pricing, please visit this link: https://wiki.co/pricing
Prices are subject to change. Please visit the official website for the most up-to-date pricing information.
