docs: N8N integration docs (#485)

* 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>

qdrant-landing/content/documentation/frameworks/make.md

@@ -11,7 +11,7 @@ Find the comprehensive list of available Make apps [here](https://www.make.com/e
 
 Qdrant is available as an [app](https://www.make.com/en/integrations/qdrant) within Make to add to your scenarios.
 
-![Qdrant Make hero](/documentation/integrations/make/hero-page.png)
+![Qdrant Make hero](/documentation/frameworks/make/hero-page.png)
 
 ## Prerequisites
 
@@ -23,18 +23,18 @@ Before you start, make sure you have the following:
 ## Setting up a connection
 
 Navigate to your scenario on the Make dashboard and select a Qdrant app module to start a connection.
-![Qdrant Make connection](/documentation/integrations/make/connection.png)
+![Qdrant Make connection](/documentation/frameworks/make/connection.png)
 
 You can now establish a connection to Qdrant using your [instance credentials](https://qdrant.tech/documentation/cloud/authentication/).
 
-![Qdrant Make form](/documentation/integrations/make/connection-form.png)
+![Qdrant Make form](/documentation/frameworks/make/connection-form.png)
 
 ## Modules
  
  Modules represent actions that Make performs with an app. 
 
 The Qdrant Make app enables you to trigger the following app modules.
-![Qdrant Make modules](/documentation/integrations/make/modules.png)
+![Qdrant Make modules](/documentation/frameworks/make/modules.png)
 
 The modules support mapping to connect the data retrieved by one module to another module to perform the desired action. You can read more about the data processing options available for the modules in the [Make reference](https://www.make.com/en/help/modules).
 

qdrant-landing/content/documentation/frameworks/n8n.md

@@ -0,0 +1,40 @@
+---
+title: N8N
+weight: 2000
+---
+
+# N8N
+
+[N8N](https://n8n.io/) is an automation platform that allows you to build flexible workflows focused on deep data integration.
+
+Qdrant is available as a vectorstore node in N8N for building AI-powered functionality within your workflows.
+
+## Prerequisites
+
+1. A Qdrant instance to connect to. You can get a free cloud instance at [cloud.qdrant.io](https://cloud.qdrant.io/).
+2. A running N8N instance. You can learn more about using the N8N cloud or self-hosting [here](https://docs.n8n.io/choose-n8n/).
+
+## Setting up the vectorstore
+
+Select the Qdrant vectorstore from the list of nodes in your workflow editor.
+
+![Qdrant n8n node](/documentation/frameworks/n8n/node.png)
+
+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).
+
+![Qdrant Config](/documentation/frameworks/n8n/config.png)
+
+Create a connection to Qdrant using your [instance credentials](https://qdrant.tech/documentation/cloud/authentication/).
+
+![Qdrant Credentials](/documentation/frameworks/n8n/credentials.png)
+
+The vectorstore supports the following operations:
+
+- Get Many - Get the top-ranked documents for a query.
+- Insert documents - Add documents to the vectorstore.
+- Retrieve documents - Retrieve documents for use with AI nodes.
+
+## Further Reading
+
+- N8N vectorstore [reference](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant/).
+- N8N AI-based workflows [reference](https://n8n.io/integrations/basic-llm-chain/).