Local File Qdrant RAG QA
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Monitors a local folder for file changes, indexes content into Qdrant using Mistral embeddings, and sets up a RAG QA chain.
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About This Workflow
Overview
This workflow automates the process of monitoring a local directory for file changes. When a file is added or modified, its content is read, processed, and then embedded using Mistral AI. These embeddings are stored in Qdrant. Finally, it sets up a Retrieval Augmented Generation (RAG) Question and Answer chain that can query the indexed file contents.
Key Features
- Monitors a target folder for file changes using the local file trigger.
- Synchronizes files in the target folder with their vector representations in Qdrant.
- Utilizes Mistral AI for generating embeddings.
- Creates a RAG QA agent capable of answering questions based on the indexed file content.
How To Use
- Configure the
Local File Triggernode to point to the directory you want to monitor. - Ensure your Mistral AI API credentials are set up.
- Set the
qdrant_collectionvariable to the desired Qdrant collection name. - The workflow will automatically process new or changed files, embed their content, and store them in Qdrant.
- The
Chat Triggerand subsequent nodes are set up to enable Q&A functionality.
Apps Used
Workflow JSON
{
"id": "dd8034c5-6e4b-4c4c-8b7b-b4e93a1ad829",
"name": "Local File Qdrant RAG QA",
"nodes": 0,
"category": "Local Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: dd8034c5-6e4b...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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