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