Structured Data Sources
A structured data source is a collection of information that is organised, consistent, and separated into clear categories.
Instead of mixing everything together, each major topic or service area has its own dedicated database.
This structure allows a chatbot to know exactly where to look for answers—and when not to.
Why structured Data Matters?
Clear Separation of Information
When each type of information lives in its own database, the chatbot can be told:
- “Only use the policy database for policy questions.”
- “Use the events database only when the user asks about community events.”
- “Do not mix information from unrelated sources.”
This prevents incorrect blending of data and reduces hallucinations.
Cleaner, Safer Responses
Structured data sources reduce risk by:
- Keeping policy information separate from general advice
- Keeping internal processes separate from public information
- Ensuring event listings don’t accidentally influence planning or compliance answers
A chatbot that knows which data source applies will always give safer responses.
Easier Governance
When data is structured:
- Each database has its own owner
- Updates are easier to track
- Reviews can happen by category
- Errors are isolated instead of affecting everything
This allows councils and organisations to maintain accuracy over time.
Better Performance
A chatbot works faster and more accurately when information is:
- Categorised
- Well-structured
- Tagged or indexed
- Easy to retrieve
The bot doesn’t have to search through unrelated content, improving speed and reliability.
Why structured Data Matters?
Without structured data sources, the chatbot is forced to “guess” which information applies.
With structured data sources:
- You control what the chatbot uses
- You prevent cross-contamination
- You reduce wrong or irrelevant answers
- You ensure that high-risk information (like policies) stays accurate and isolated
- You can switch databases on/off depending on the question
This forms the foundation for safe, predictable, high-quality chatbot behaviour.
