Docs: Add Intent-Drive Optimization guide #189
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Description 📝
This adds a comprehensive tutorial on intent-driven architecture patterns that shows developers how to optimize PromptQL performance through strategic system instructions.
The new tutorial teaches developers how to classify user queries into different intent categories (conceptual questions, procedural guidance, examples, troubleshooting) and route them through optimized processing pathways. Instead of treating every query the same way, this approach uses structured system instructions to teach PromptQL when to use expensive operations versus when to respond directly from model knowledge.
The guide includes practical configuration examples for
promptql-config.hmlthat implement query classification, validation protocols for technical accuracy, and response patterns that match complexity to user needs. This architectural pattern can reduce response times by while improving accuracy - all through configuration rather than custom code.Quick Links 🚀
Intent-Driven Search Performance Optimization