Support AI Needs Grounding
Generic chatbots are risky because they guess. A RAG knowledge base gives the AI access to your actual documentation, policies, product updates, and support history.
The goal is not just fast answers. The goal is accurate answers that can be traced to sources.
What to Include
- Help center articles
- Internal support macros
- Product release notes
- Pricing and billing policies
- Known issues
- Implementation guides
- Troubleshooting steps
What to Exclude
Do not index outdated, contradictory, or low-quality documents without cleanup. RAG quality is limited by source quality.
The Core Architecture
Documents are cleaned, chunked, embedded, stored in a vector database, retrieved based on user question, and passed to the model as context. The model answers using that context and cites the sources.
The Human Handoff
Support AI should escalate when the answer is uncertain, the customer is frustrated, billing risk is high, or account-specific action is required.
The Hidden Benefit
A RAG support agent reveals documentation gaps. Every unanswered question is a signal for the content team.