Automate JSON Upload to Qdrant for AI Semantic Search

This workflow automates the process of bulk-uploading structured JSON articles from an FTP server into a Qdrant vector database, enabling efficient use in LLM-powered semantic search, RAG systems, or AI assistants.

The workflow is designed to streamline the integration of pre-cleaned JSON files containing metadata and rich text chunks into a Qdrant vector database. It automates downloading from an FTP server, parsing, splitting, embedding with OpenAI, and storing in Qdrant. This setup is ideal for applications requiring retrieval-augmented generation, semantic search, or AI assistant memory. The modular architecture allows for flexibility, such as replacing the FTP source with other storage solutions or sw
Platform
n8n
Category
AI
Price
$9.99
Creator
Emma Rodriguez

How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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