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name: pipelines-and-methods description: "Plan and implement FlashRAG end-to-end RAG pipelines, quick-start demos, method reproductions, active/reasoning/branching/multimodal pipelines, multi-turn prompts, and experiment-runner dry-runs without executing large models by default." disable-model-invocation: true metadata: disco-role: operating license: MIT

FlashRAG Pipelines and Methods

Use this sub-skill when the task is about choosing or wiring FlashRAG pipelines, adapting quick-start demos, reproducing supported methods, planning multi-turn or multimodal workflows, or dry-checking an experiment configuration before any large model/index execution.

Route first

• For standard text RAG, start with SequentialPipeline or naive_run; see pipeline API and quick-start/multi-turn.
• For method reproduction, map the requested method name to the experiment-runner recipe and prerequisites; see method recipes.
• For active, branching, adaptive, or reasoning RAG, select the pipeline by required control flow and model support; see pipeline API and multimodal/reasoning.
• For multimodal RAG, check dataset modality, prompt template, multimodal retriever settings, generator capability, and hardware before running; see multimodal/reasoning.
• Before execution, run the bundled safe checker: python skills/flashrag/sub-skills/pipelines-and-methods/scripts/validate_pipeline_config.py --config CONFIG.yaml --method METHOD --dry-run-plan.
• If a run fails or looks wrong, triage with troubleshooting.

Safety defaults

• Do not execute model downloads, index building, vLLM server/model loading, or full benchmark runs unless explicitly requested.
• Prefer test_sample_num, small retrieval_topk, short generation_params, and do_eval=False for smoke tests.
• Treat model paths, corpus paths, index paths, cache paths, and output paths as user-provided runtime values; do not hard-code machine-specific paths in public instructions.
• Keep low-level config schema details, index construction, generator/refiner internals, and metric/UI work in their dedicated FlashRAG skill areas.