It would help if there was a node for:
Generating vector embeddings from text directly inside n8n workflows.
My use case:
This node is useful for workflows that integrate AI and semantic capabilities. For example:
- Storing embeddings in vector databases like Pinecone or Weaviate.
- Performing semantic search across documents, FAQs, or support tickets.
- Automatically classifying text based on similarity to labeled samples.
- Enhancing chatbot or LLM workflows with similarity-based memory or retrieval.
Any resources to support this?
- NPM package: https://www.npmjs.com/package/n8n-nodes-rckflr-textembeddings
- The node is already working and available for installation via npm:
npm install n8n-nodes-rckflr-textembeddings
Are you willing to work on this?
Yes — I’ve already developed and published the node, and I’m happy to maintain and improve it as needed.
