AI-Powered Document Analysis and Content Generation
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Automate the transformation of raw documents into structured, insightful content like study guides, timelines, and briefing documents. This workflow uses Mistral AI to intelligently analyze incoming files and generate multiple targeted outputs, streamlining your knowledge management.
About This Workflow
This sophisticated workflow triggers automatically when new files are added to a designated local folder. It intelligently processes incoming documents by extracting key metadata, splitting content into manageable chunks, and generating powerful embeddings using Mistral Cloud. Leveraging Mistral's advanced chat models, it analyzes the document content and dynamically generates various structured outputs, such as detailed study guides, chronological timelines, or concise briefing documents, based on predefined templates. This solution drastically reduces manual effort in content creation and ensures consistent, AI-driven insights from your source materials, ideal for educational, research, or business intelligence applications.
Key Features
- Automated Document Ingestion: Watches a local folder and triggers processing upon new file additions.
- AI-Powered Content Generation: Utilizes Mistral Cloud's
open-mixtral-8x7bmodel to generate contextually rich documents like study guides, timelines, and briefings. - Intelligent Text Processing: Automatically chunks large documents and generates embeddings for efficient information retrieval and context management.
- Dynamic Output Customization: Easily define and modify the types of documents you want to generate through a configurable JSON template.
- Metadata-Rich Handling: Automatically extracts and attaches project and filename metadata to processed documents for better organization and traceability.
How To Use
- Set up Input Monitoring: Configure the
Local File Triggernode to specify the local folder path (e.g.,/home/node/storynotes/context) where your source documents will be dropped. - Provide AI Credentials: Ensure your Mistral Cloud API credentials are configured for both the
Embeddings Mistral CloudandMistral Cloud Chat Modelnodes. - Define Output Document Types: Customize the
Get Doc Typesnode's JSON payload to define the exact types of output documents (e.g., "Study Guide", "Timeline", "Briefing Doc") you want to generate, including their titles and detailed descriptions. - Adjust Text Processing: Fine-tune the
chunkSizeparameter in theRecursive Character Text Splitternode to optimize how your documents are broken down for embedding and analysis. - Review Metadata Extraction: Verify the
Settingsnode correctly extractsprojectandfilenamefrom your file paths; adjust expressions if your directory structure differs.
Apps Used
Workflow JSON
{
"id": "a81d067c-da6b-4ec3-8447-5230938ff216",
"name": "AI-Powered Document Analysis and Content Generation",
"nodes": 8,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: a81d067c-da6b...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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