Document the real max_searches default

Both configuration pages said 3; the default has been 5.

docs/configuration/index.md

@@ -107,7 +107,7 @@ qa:
     name: gpt-oss
     enable_thinking: true
     temperature: 0.3
-  max_searches: 3
+  max_searches: 5
 
 search:
   limit: 10                    # Default number of results to return

docs/configuration/qa.md

@@ -30,12 +30,12 @@ qa:
     enable_thinking: true
     temperature: 0.3          # Default: 0.3
     vision: false             # Set true for vision-capable models
-  max_searches: 3       # Maximum search tool calls per question
+  max_searches: 5       # Maximum search tool calls per question
 ```
 
 - **model**: LLM configuration (see [Providers](providers.md#model-settings))
 - **model.vision**: Set to `true` for vision-capable models (`qwen2.5vl`, `qwen3.6`, `gpt-4o`, `claude-sonnet`, …). The capability's `search` tool only attaches picture bytes (`BinaryContent`) to its `ToolReturn` when this is `true`, otherwise picture bytes are withheld. See [Pictures × embedder × QA model](processing.md#pictures-embedder-qa-model-how-the-pieces-compose) for the full matrix.
-- **max_searches**: Maximum number of search tool calls the RAG capability can make per question (default: 3)
+- **max_searches**: Maximum number of search tool calls a capability can make per question (default: 5). Shared by the RAG and analysis capabilities.
 
 !!! note "Thinking on vLLM"
     `enable_thinking` only applies to models with a pydantic-ai reasoning profile (o-series, gpt-5, gpt-oss). For other vLLM-served models such as Qwen3 or the Gemma family, the field is a silent no-op — set the chat template switch via [`extra_body`](providers.md#raw-provider-pass-through) instead.