Play 09
AI Search Portal
Medium🔧 Skeleton
Enterprise search with hybrid ranking and GPT synthesis.
A search experience that combines keyword matching with semantic understanding. AI Search handles the retrieval with custom scoring profiles, GPT-4o synthesizes results into readable summaries with citations. Web app frontend with faceted navigation, filters, and autocomplete.
Architecture Pattern
Hybrid search + GPT synthesis, scoring profiles
Azure Services
AI Search (semantic)Azure OpenAI (gpt-4o)App Service (B1)Blob Storage
DevKit (.github Agentic OS)
- agent.md — search assistant
- instructions.md — search semantics guide
- mcp/index.js — search validation tools
- plugins/ — search handler, synthesizer, ranker
TuneKit (AI Config)
- config/search.json — hybrid weights, semantic config, scoring profiles
- config/openai.json — synthesis prompts
- config/ranking.json — custom ranking rules
- evaluation/test-set.jsonl — search query samples
Tuning Parameters
Hybrid weights (keyword vs semantic)Scoring profilesSynthesis promptsResult countFacet configuration
Estimated Cost
Dev/Test
$100–250/mo
Production
$1.2K–5K/mo