I’m working on designing a knowledge base for a company where employees can ask questions and get answers driven by AI. The goal is to create a system that makes it easy to gather, store, organize, and access knowledge, while also dealing with the unique challenges of a company environment.
Here’s a quick overview of the requirements and things to keep in mind:
Key Considerations:
- Ease of Data Entry:
- How can we make it as easy as possible for people to add knowledge?
- Are there any tools or methods to help with capturing and organizing knowledge (e.g., integrations with current systems or automated tagging)?
- Effective Permission Management:
- Companies deal with sensitive information. What’s the best way to handle permissions and make sure people only see what they are allowed to?
- Portability of Data:
- We want to avoid being locked into one vendor. How can we make sure the knowledge base can be moved easily if needed? Are there specific formats or standards we should follow?
- Data Relevance and Context:
- Over time, knowledge can get outdated or irrelevant. How do we keep the knowledge base up-to-date?
- Are there AI tools that can help manage the lifecycle of knowledge or spot outdated information?
- Optimized for AI Interaction:
- The knowledge base should allow people to use natural language queries with AI. What structures or formats work best for AI to pull accurate answers?
My questions:
- What platforms, frameworks, or tools have you used (or heard of) that are good for building enterprise knowledge bases?
- Any tips for effectively integrating AI with knowledge bases?
- How do you balance ease of use with things like compliance and security in enterprise environments?
- Are there any mistakes to avoid or best practices you recommend for building something like this?
Looking forward to hearing your thoughts, tips, and any experiences you want to share!
Thanks in advance!