Classify each request as non-retrieval, single-step, or multi-step, then execute the smallest suitable grounded RAG workflow with optional rewriting, reranking, and critique.
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---
name: agentic-hybrid-rag
description: Classify each request as non-retrieval, single-step, or multi-step, then execute the smallest suitable grounded RAG workflow with optional rewriting, reranking, and critique.
---
# Hybrid Agentic RAG
Use the fixed classifier in `complexity` mode before execution.
## Slots
- `classifier`: select `component-classifier`.
- `retriever`: select one retriever.
- `rewriter`: optional retrieval-query rewriter.
- `reranker`: optional evidence reranker.
- `generator`: select grounded generator.
- `critic`: select answer critic for multi-step execution.
## Routes
- `non-retrieval`: call the Generator with the original query and no documents.
- `single-step`: optionally rewrite the query, retrieve once, optionally rerank, then generate.
- `multi-step`: repeatedly retrieve, accumulate new documents, optionally rerank, generate, and critique until approved, no new evidence, or `max_iterations` is reached.
Always use the original query for generation, reranking, and critique. Rewritten queries are retrieval aids only. Classifier output and generated rewrites are never evidence.
Run `scripts/workflow.py:run(request, components)` after all required slots are bound.
