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n8n Workflowmedium

Qdrant Vector Database Embedding Pipeline

Automates embedding of JSON documents from FTP into Qdrant vector DB using OpenAI embeddings. Uses FTP for file retrieval, OpenAI 'text-embedding-ada-002' for embeddings, Qdrant Vector Store for storage, and Langchain nodes for splitting and loading. Ideal for semantic search setups.

Integrations

Document LoaderOpenAI EmbeddingsTextsplittercharactertextsplitterQdrantFtp

Tags

#qdrant#vector#db#embedding#pipeline
$49

One-time purchase

Instant download after purchase
Works with Document Loader
Medium complexity — 15-30 min setup
Lifetime access, no subscription
Delivered as .json workflow file

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