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* docs: N8N integration docs * fixed: n8n reference URL * Update qdrant-landing/content/documentation/frameworks/n8n.md --------- Co-authored-by: Kacper Łukawski <kacperlukawski@users.noreply.github.com>
41 lines
1.7 KiB
Markdown
41 lines
1.7 KiB
Markdown
---
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title: N8N
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weight: 2000
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---
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# N8N
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[N8N](https://n8n.io/) is an automation platform that allows you to build flexible workflows focused on deep data integration.
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Qdrant is available as a vectorstore node in N8N for building AI-powered functionality within your workflows.
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## Prerequisites
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1. A Qdrant instance to connect to. You can get a free cloud instance at [cloud.qdrant.io](https://cloud.qdrant.io/).
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2. A running N8N instance. You can learn more about using the N8N cloud or self-hosting [here](https://docs.n8n.io/choose-n8n/).
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## Setting up the vectorstore
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Select the Qdrant vectorstore from the list of nodes in your workflow editor.
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You can now configure the vectorstore node according to your workflow requirements. The configuration options reference can be found [here](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant/#node-parameters).
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Create a connection to Qdrant using your [instance credentials](https://qdrant.tech/documentation/cloud/authentication/).
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The vectorstore supports the following operations:
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- Get Many - Get the top-ranked documents for a query.
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- Insert documents - Add documents to the vectorstore.
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- Retrieve documents - Retrieve documents for use with AI nodes.
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## Further Reading
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- N8N vectorstore [reference](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant/).
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- N8N AI-based workflows [reference](https://n8n.io/integrations/basic-llm-chain/).
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