Workflow Product

Automated document compliance validation with AI and vector database

Description This workflow automates compliance validation between a policy/procedure and a corresponding uploaded document. It leverages an AI agent to determine whether the content of the document aligns with the expectations outlined in t...

Ai Agents Chatbotsmango25Single PurchasePublished
Category
Ai Agents Chatbots
Source
mango25
Delivery
One-time access
Complexity
22 nodes
Guest Preview Mode
Workflow Structure Preview
22 total nodes • 16 automation blocks • EmbeddingsOllama • VectorStoreQdrant • LmChatOllama
Delivery package includes the actual export, setup notes, and implementation guidance.
Asset OverviewView Source
22 workflow nodes configured.
EmbeddingsOllamaVectorStoreQdrantLmChatOllamaHttpExtractFromFileDocumentDefaultDataLoaderTextSplitterRecursiveCharacterTextSplitterAgentN8n Nodes Base.Webhook
What This Product Includes
Workflow record
Execution metadata
Catalog status fields
Delivery attachment pending final packaging
Metadata Properties
Views
743
Votes
0
Creator
mango25
Ai Enabled
true
Node Count
22
Nodes Count
16
Original Url
https://n8n.io/workflows/7662
Quality Tier
high
Quality Score
12.31
Category Label
AI Agents & Chatbots
Category Primary
ai-agents-chatbots
Workflow Structure
[ "Audit Document Upload", "Procedure Submission", "Fetch Document (Microsoft Graph)", "Delete Old Document Vectors", "Extract PDF Text", "Generate Document Embeddings", "Insert Vectors into Qdrant", "Load Document Metadata", "Split Text into Chunks", "Format Procedure Payload", "AI Compliance Validator", "Language Model (AI Agent)", "Retrieve Relevant Document Chunks", "Generate Query Embeddings", "Language Model (Structured Output)", "Parse AI Response", "Return Compliance Report", "Sticky Note", "Sticky Note1", "Sticky Note2", "Sticky Note3", "Sticky Note4" ]
This workflow is live in the catalog. Delivery packaging and richer setup metadata may still be attached incrementally.
Related Resources