This workflow streamlines the creation, analysis, and logging of compliance checklists using AI and cloud services. It begins with a webhook trigger to receive data inputs, which are then split into manageable chunks for processing. The workflow leverages OpenAI embeddings to convert text into vector representations, facilitating advanced semantic searches within a Pinecone vector database. An AI agent, powered by the Hugging Face model, generates compliance-related insights or summaries. These insights are stored in a Pinecone index for easy retrieval and comparison. Additionally, the workflow logs details into a Google Sheet for record-keeping. Practical applications include automating compliance documentation, generating risk assessments, or creating dynamic checklists for audits, making compliance management more efficient and less manual.
Automated Compliance Checklist Generator and Logger
Node Count | 11 – 20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStorePinecone, googleSheets, stickyNote, webhook |
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