Add docs for new PGVector Vector store node (#2442)

Co-authored-by: freakwriter <freakwriter@users.noreply.github.com>

_snippets/integrations/builtin/cluster-nodes/vector-store-mode.md

@@ -1,6 +1,6 @@
 ### Operation Mode
 
-Vector Store nodes in n8n have three modes: **Get Many**, **Insert Documents** and **Retrieve Documents**. The mode you select determines the operations you can perform with the node and what inputs and outputs are available.
+Vector Store nodes in n8n have three modes: **Get Many**, **Insert Documents**, and **Retrieve Documents**. The mode you select determines the operations you can perform with the node and what inputs and outputs are available.
 
 <!-- vale off -->
 #### Get Many
@@ -9,7 +9,7 @@ In this mode, you can retrieve multiple documents from your vector database by p
 <!-- vale on -->
 #### Insert Documents
 
-Use insert documents mode to insert new documents into your vector database.
+Use Insert Documents mode to insert new documents into your vector database.
 
 #### Retrieve Documents (For Agent/Chain)
 

docs/advanced-ai/langchain/langchain-n8n.md

@@ -56,6 +56,7 @@ Learn more about [Agents in LangChain](https://js.langchain.com/docs/modules/age
 Vector stores store embedded data, and perform vector searches on it.
 
 * [In Memory Vector Store](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreinmemory/)
+* [PGVector Vector Store](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepgvector/)
 * [Pinecone Vector Store](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepinecone/)
 * [Qdrant Vector Store](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant/)
 * [Supabase Vector Store](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoresupabase/)

docs/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepgvector.md

@@ -0,0 +1,74 @@
+---
+#https://www.notion.so/n8n/Frontmatter-432c2b8dff1f43d4b1c8d20075510fe4
+title: PGVector Vector Store
+description: Documentation for the PGVector node in n8n, a workflow automation platform. Includes details of operations and configuration, and links to examples and credentials information.
+priority: medium
+---
+
+# PGVector Vector Store
+
+PGVector is an extension of Postgresql. Use this node to interact with the PGVector tables in your Postgresql database. You can insert documents into a vector table, get documents from a vector table, and retrieve documents to provide them to a retriever connected to a chain.
+
+On this page, you'll find the node parameters for the PGVector node, and links to more resources.
+
+/// note | Credentials
+You can find authentication information for this node [here](/integrations/builtin/credentials/postgres/).
+///
+
+--8<-- "_snippets/integrations/builtin/cluster-nodes/sub-node-expression-resolution.md"
+	
+## Node parameters
+
+--8<-- "_snippets/integrations/builtin/cluster-nodes/vector-store-mode.md"
+
+<!-- vale off -->
+### Get Many parameters
+<!-- vale on -->
+
+* **Table name**: Enter the name of the table you want to query.
+* **Prompt**: Enter your search query.
+* **Limit**: Enter a number to set how many results to retrieve from the vector store. For example, set this to `10` to get the ten best results.
+
+### Insert Documents parameters
+
+* **Table name**: Enter the name of the table you want to query.
+
+### Retrieve Documents parameters (for Agent/Chain)
+
+* **Table name**: Enter the name of the table you want to query.
+
+## Node options
+
+### Collection
+
+A way to separate datasets in PGVector. This creates a separate table and column to keep track of which collection a vector belongs to.
+
+* **Use Collection**: Select whether to use a collection (turned on) or not (turned off).
+* **Collection Name**: Enter the name of the collection you want to use.
+* **Collection Table Name**: Enter the name of the table to store collection information in.
+
+### Column Names
+
+The following options specify the names of the columns to store the vectors and corresponding information in:
+
+* **ID Column Name**
+* **Vector Column Name**
+* **Content Column Name**
+* **Metadata Column Name**
+
+### Metadata Filter
+
+--8<-- "_snippets/integrations/builtin/cluster-nodes/langchain-root-nodes/vector-store-metadata-filter.md"
+
+## Templates and examples
+
+<!-- see https://www.notion.so/n8n/Pull-in-templates-for-the-integrations-pages-37c716837b804d30a33b47475f6e3780 -->
+[[ templatesWidget(title, 'pgvector-vector-store') ]]
+
+## Related resources
+
+Refer to [LangChain's PGVector documentation](https://js.langchain.com/docs/integrations/vectorstores/pgvector){:target=_blank .external-link} for more information about the service.
+
+--8<-- "_snippets/integrations/builtin/cluster-nodes/langchain-overview-link.md"
+
+--8<-- "_snippets/self-hosting/starter-kits/self-hosted-ai-starter-kit.md"

docs/integrations/builtin/credentials/postgres.md

@@ -13,6 +13,7 @@ You can use these credentials to authenticate the following nodes:
 - [Postgres](/integrations/builtin/app-nodes/n8n-nodes-base.postgres/)
 - [Agent](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)
 - [Postgres Chat Memory](/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorypostgreschat/) 
+- [PGVector Vector Store](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepgvector/) 
 
 /// note | Agent node users
 The Agent node doesn't support SSH tunnels.

mkdocs.yml

@@ -779,6 +779,7 @@ nav:
           - integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.sentimentanalysis.md
           - integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.code.md
           - integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreinmemory.md
+          - integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepgvector.md
           - integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepinecone.md
           - integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant.md
           - integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoresupabase.md

styles/config/vocabularies/default/accept.txt

@@ -185,6 +185,7 @@ Ortto
 Oura
 PDFs
 Peekalink
+PGVector
 PhantomBuster
 Pinterest
 Pipedrive