Automate Your Document Q&A with n8n and Mistral AI
detail.loadingPreview
Transform your local files into an interactive Q&A system. This workflow automatically indexes documents using vector embeddings and leverages Mistral AI to provide instant answers to your questions.
About This Workflow
This n8n workflow empowers you to build a smart Q&A agent directly from your local files. It seamlessly monitors a designated folder for new or updated documents. Upon detection, it processes the files, generates vector embeddings using Mistral AI, and stores them in Qdrant for efficient retrieval. When a question is posed via a chat trigger, the workflow searches the indexed documents and uses Mistral AI to formulate a precise answer based on your content. This is ideal for knowledge management, internal documentation, and creating interactive support systems.
Key Features
- Real-time File Monitoring: Automatically detects changes in your specified local directory.
- AI-Powered Embedding: Utilizes Mistral AI to create semantic representations of your document content.
- Vector Database Integration: Stores embeddings in Qdrant for fast and scalable semantic search.
- Interactive Q&A: Enables users to ask questions and receive AI-generated answers based on your files.
- Customizable Metadata: Allows for flexible filtering and organization of your documents.
How To Use
- Configure Local File Trigger: Set the
pathto the folder you want to monitor for files (e.g.,/home/node/BankStatements). Ensureeventsare set toadd,change, andunlink. - Set Variables: Define your
directoryfor file storage and theqdrant_collectionname. - Read File: Configure the
fileSelectorto dynamically point to the file being processed, typically using the output from the Local File Trigger. - Prepare Embedding Document: This node crafts the data payload for embedding, combining file location, creation time, and file content.
- Embeddings Mistral Cloud: Connect your Mistral Cloud API credentials and configure this node to generate embeddings for your document content.
- Default Data Loader: Use this node to structure your data for the text splitter, including setting relevant
metadatafor filtering. - Recursive Character Text Splitter: Configure this node to break down large documents into smaller, manageable chunks for effective embedding.
- Chat Trigger: Set up a webhook to receive questions from your AI chat interface.
- Question and Answer Chain: Connect this node to your Chat Trigger and configure it to utilize your Qdrant index and Mistral AI chat model for answering questions.
- Mistral Cloud Chat Model: Configure your preferred Mistral AI chat model (e.g.,
mistral-small-2402) and connect your credentials to be used within the Q&A chain.
Apps Used
Workflow JSON
{
"id": "56a2b691-edc2-4240-9ec5-6c16bbc82ade",
"name": "Automate Your Document Q&A with n8n and Mistral AI",
"nodes": 14,
"category": "DevOps",
"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: 56a2b691-edc2...
About the Author
DevOps_Master_X
Infrastructure Expert
Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
Statistics
Related Workflows
Discover more workflows you might like
Automated PR Merged QA Notifications
Streamline your QA process with this automated workflow that notifies your team upon successful Pull Request merges. Leverage AI and vector stores to enrich notifications and ensure seamless integration into your development pipeline.
Automate Qualys Report Generation and Retrieval
Streamline your Qualys security reporting by automating the generation and retrieval of reports. This workflow ensures timely access to crucial security data without manual intervention.
Visualize Your n8n Workflows: Interactive Dashboard with Mermaid.js
Gain unparalleled visibility into your n8n automation landscape. This workflow transforms your n8n instance into a dynamic, interactive dashboard, leveraging Mermaid.js to visualize all your workflows in one accessible place.