Description
AI & LangChain node in n8n.
What It Does
Convert text into vector embeddings.
When To Use It
Similarity search, clustering, RAG pipelines.
Key Parameters
Model, text field
Common Mistakes
Embeddings from different models have different dimensions – keep one model per store.
Example
Embed each FAQ answer -> store vectors -> semantic search over FAQs.
FAQ
Is this node included in n8n Community Edition?
Yes – Embeddings ships with the free Community Edition. No paid license needed.
Batch large texts?
embedding per item is slow and costly.
Where does it fit in a workflow?
Embeddings works with any other node – connect it after a trigger or data node, and feed its output into the next step. Standard n8n data flow: trigger -> transform -> act.
Is support included?
Yes – message the seller through the store and I will help you wire this node.
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