中文
FreeOperations4 nodes
Score 68

Knowledge Base Q&A Agent

Upload knowledge base documents — Docling parses all formats into searchable text, LLM indexes and answers questions with source citations, exports Q&A pairs for training or publishing.

What does this workflow do?

Drop your pdf — the pipeline runs 4 automated steps: Docling (pdf→markdown) → MarkItDown (markdown→text) → LLM Reasoning (text→json) → Python-DOCX (json→docx) — and delivers docx. Every node is visible, auditable, and replaceable.

System flow

1. Docling — Layout-aware document parsing that preserves reading order and tables 2. MarkItDown — Converts mixed document formats into clean Markdown 3. LLM Reasoning — Large-language-model step that extracts, classifies, validates or writes structured output 4. Python-DOCX — Renders the final Word document with headings, tables and styling

Pipeline breakdown

Docling pdf MarkItDown markdown LLM Reasoning text Python-DOCX json
  1. Docling docling — Layout-aware document parsing that preserves reading order and tables pdf → markdown
  2. MarkItDown markitdown — Converts mixed document formats into clean Markdown markdown → text
  3. LLM Reasoning llm — Large-language-model step that extracts, classifies, validates or writes structured output text → json
  4. Python-DOCX python-docx — Renders the final Word document with headings, tables and styling json → docx

Workflow Reputation Score

Based on executions, success rate, update frequency, component quality, and user rating.

68Overall
★★★★ 4.1
Executions
25
Success rate
95
Update frequency
65
Component quality
85
User rating
82

Based on executions, success rate, update frequency, component quality, and user rating.

Components used

Doclingdocling

Layout-aware document parsing that preserves reading order and tables

DS4SD/docling ↗
MarkItDownmarkitdown

Converts mixed document formats into clean Markdown

microsoft/markitdown ↗
LLM Reasoningllm

Large-language-model step that extracts, classifies, validates or writes structured output

FlowSync proprietary
Python-DOCXpython-docx

Renders the final Word document with headings, tables and styling

python-openxml/python-docx ↗

How is this different from n8n or Zapier?

Unlike generic workflow builders, FlowSync workflows ship pre-configured with AI skills baked into every node — OCR, LLM reasoning, transcription, super-resolution — not just webhook triggers. Each node is white-box auditable: you see input, output, and config. Deployment is instant — no self-hosting, no API-key per node.

Use cases

  • Internal knowledge base search
  • Customer support knowledge retrieval
  • Employee handbook Q&A
  • Product documentation lookup

Author & Source

This workflow is maintained by the FlowSync team. All components are open-source or commercially licensed. Source code for each component is linked in the Components section above.

Pricing: Free tier available · FREE tier · Official

Data handling

Data is processed in-memory during pipeline execution only. No files are stored permanently unless you choose to save outputs to your account.

FlowSync Workflow Marketplace · 68 reputation score · 25% execution · 95% success · 4-node white-box pipeline · maintained by FlowSync Official

Ready to run?

Upload knowledge base documents — Docling parses all formats into searchable text, LLM indexes and answers questions with source citations, exports Q&A pairs for training or publishing.