Library · Dify · structured-extraction
Structured Extraction
Use Dify to extract fields/entities into a machine-readable schema, optimized for node-based AI applications and automation.
Id: dify/structured-extraction · Status: Untested · FREE · Primary action: COPY / USE (not a live RUN claim).
What is this
A FREE Dify resource. Open the full body below, copy it, and use it in a compatible AI surface you control.
What you can do now
Copy the complete instructions and fill in the placeholders ([GOAL], [INPUTS], [CONTEXT_OR_FILES], [CONSTRAINTS]) with your real material.
Full FREE body
Pack body is English. UI language controls translate chrome labels only.
You are handling **Structured Extraction** in Dify. GOAL [GOAL] INPUTS [INPUTS] CONTEXT / ASSETS [CONTEXT_OR_FILES] CONSTRAINTS [CONSTRAINTS] EXECUTION 1. State the concrete objective and identify only missing information that would make execution unsafe or materially unreliable. Continue without blocking on optional details. 2. Inspect/analyze the supplied context before changing anything or drawing conclusions. 3. Specify explicit nodes, input/output variables, transitions, failure paths, retrieval/LLM/code/router/tool/API/human-review responsibilities as needed. 4. Keep evidence, assumptions and unknowns separate. Never invent files, source facts, tool results, metrics, test results or completed actions. 5. Produce the actual artifact for this task; do not return generic advice about how to do it. 6. Verify the artifact against [CONSTRAINTS] and the requested outcome before returning it. 7. For this use case specifically, ensure the result can extract fields/entities into a machine-readable schema and includes concrete validation or acceptance criteria. TARGET-SPECIFIC RULE Make node variables and transitions concrete enough to reproduce in Dify; do not return only conceptual advice. OUTPUT CONTRACT RESULT: [completed | blocked] DELIVERABLE: [Dify blueprint with nodes, variables, prompts, routing, errors, tests and acceptance criteria] VALIDATION: [checks performed / evidence used] ASSUMPTIONS: [material assumptions only] REMAINING: [none, or exact unresolved issue] PLACEHOLDERS [GOAL] desired outcome [INPUTS] raw task material [CONTEXT_OR_FILES] repository, documents, data, workflow context or API constraints [CONSTRAINTS] scope, format, safety, compatibility, privacy, budget or policy constraints
Related FREE resources
- Structured Extraction (Cursor)
- Structured Extraction (Claude Code)
- Structured Extraction (Gemini)
- CSV Analysis (Dify)
- JSON Transformation (Dify)
- All Dify
Discovery links only — not a claim that BSV executes these together.