# Multi-Store Search with Ranking

When searching across multiple stores, use ranking to prioritize results:

### Workflow: Cross-Library Search

```
1. search(query, limit=10)
   → Searches ALL stores
   → Returns mixed results ranked by relevance

2. Review store distribution:
   - If dominated by one store: might narrow to specific stores
   - If balanced: good cross-library perspective

3. For specific library focus:
   search(query, stores=['lib1', 'lib2'], limit=15)
   → Search only relevant libraries
   → Get more results from target libraries
```

**Example:**

User: "How do different frameworks handle routing?"

```
# Search all indexed frameworks
search("routing implementation", intent='find-implementation', limit=15)
→ Result mix:
  - express (score: 0.91)
  - fastapi (score: 0.89)
  - hono (score: 0.87)
  - vue-router (score: 0.82)
  - ...

# All stores represented, good comparative view!

# If user wants deeper FastAPI focus:
search("routing implementation", stores=['fastapi', 'starlette'], limit=20)
→ More FastAPI/Starlette-specific results
→ Deeper exploration of Python framework routing
```