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Search and Question Answering

Search Settings

Configure search behavior and context expansion:

search:
  limit: 5                     # Default number of results to return
  context_radius: 0            # DocItems before/after to include for text content
  max_context_items: 10        # Maximum items in expanded context
  max_context_chars: 10000     # Maximum characters in expanded context
  • limit: Default number of search results to return when no limit is specified. Used by CLI, MCP server, QA, and research workflows. Default: 5
  • context_radius: For text content (paragraphs), includes N DocItems before and after. Set to 0 to disable expansion (default).
  • max_context_items: Limits how many document items (paragraphs, list items, etc.) can be included in expanded context. Default: 10.
  • max_context_chars: Hard limit on total characters in expanded content. Default: 10000.

Structural content (tables, code blocks, lists) uses type-aware expansion that automatically includes the complete structure regardless of how it was chunked.

Reranking behavior

When a reranker is configured, search automatically retrieves 10x the requested limit, then reranks to return the final count. This improves result quality without requiring you to adjust limit.

Question Answering Configuration

Configure the QA workflow:

qa:
  model:
    provider: ollama
    name: gpt-oss
    enable_thinking: true
    temperature: 0.3          # Default: 0.3
  max_iterations: 2     # Maximum search iterations
  max_concurrency: 1    # Concurrent search operations
  • model: LLM configuration (see Providers)
  • max_iterations: Maximum search iterations (default: 2)
  • max_concurrency: Number of concurrent search operations (default: 1)

Research Configuration

Configure the multi-agent research workflow:

research:
  model:
    provider: ""            # Empty to use qa settings
    name: ""               # Empty to use qa model
    enable_thinking: false
    temperature: 0.3        # Default: 0.3
  max_iterations: 3
  max_concurrency: 1
  • model: LLM configuration. Leave provider/model empty to inherit from qa (see Providers)
  • max_iterations: Maximum planning/search iterations (default: 3)
  • max_concurrency: Concurrent search operations (default: 1)

The research workflow uses an iterative feedback loop: the planner proposes one question at a time, sees the answer, then decides whether to continue or synthesize. This continues until the planner marks research as complete or max_iterations is reached.

RLM Configuration

Configure the RLM (Recursive Language Model) agent:

rlm:
  model:
    provider: anthropic
    name: claude-sonnet-4-20250514
    temperature: 0.0        # Default: 0.0 (deterministic for code generation)
  code_timeout: 60.0      # Max seconds for code execution
  max_output_chars: 50000 # Truncate output after this many chars
  • model: LLM configuration (see Providers)
  • code_timeout: Maximum seconds for each code execution (default: 60)
  • max_output_chars: Truncate code output after this many characters (default: 50000)

See RLM Agent for usage details.