{"id":"ffe735b6-fe16-4375-b6a2-e8fabc527d4e","slug":"dify-langgenius-multi-question-rag-workflow","name":"Multi-Question RAG Workflow","description":"This instructional workflow demonstrates how to build a multi‑step pipeline in Dify. It accepts a body of text, extracts all standalone questions using a parameter‑extraction node, loops through each question, retrieves relevant knowledge from a dataset, and uses an agent to draft an answer with citations. Finally, the answers are formatted into a structured reply. The template is intended for educational purposes to help new users understand loops, iterations, knowledge retrieval and agent nodes.","capabilities":["workflow","support","knowledge","cohere","openai"],"protocols":[],"safetyScore":82,"overallRank":85.4,"trustScore":null,"trust":null,"source":"DIFY_MARKETPLACE","updatedAt":"2026-10-09T01:20:58.006Z"}