Documentation for Milvus vector store & Milvus credentials (#3055)

Co-authored-by: Justin Ellingwood <justin@n8n.io>

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

@@ -0,0 +1,92 @@
+---
+#https://www.notion.so/n8n/Frontmatter-432c2b8dff1f43d4b1c8d20075510fe4
+title: Milvus Vector Store node documentation
+description: Learn how to use the Milvus Vector Store node in n8n. Follow technical documentation to integrate Milvus Vector Store node into your workflows.
+contentType: [integration, reference]
+priority: medium
+---
+
+# Milvus Vector Store node
+
+Use the Milvus node to interact with your Milvus database as [vector store](/glossary.md#ai-vector-store). You can insert documents into a vector database, get documents from a vector database, retrieve documents to provide them to a retriever connected to a [chain](/glossary.md#ai-chain), or connect directly to an [agent](/glossary.md#ai-agent) as a [tool](/glossary.md#ai-tool).
+
+On this page, you'll find the node parameters for the Milvus node, and links to more resources.
+
+/// note | Credentials
+You can find authentication information for this node [here](/integrations/builtin/credentials/milvus.md).
+///
+
+--8<-- "_snippets/integrations/builtin/cluster-nodes/sub-node-expression-resolution.md"
+
+## Node usage patterns
+
+You can use the Milvus Vector Store node in the following patterns.
+
+### Use as a regular node to insert and retrieve documents
+
+You can use the Milvus Vector Store as a regular node to insert, or get documents. This pattern places the Milvus Vector Store in the regular connection flow without using an agent.
+
+You can see an example of this in scenario 1 of [this template](https://n8n.io/workflows/2165-chat-with-pdf-docs-using-ai-quoting-sources/), by replacing the Pinecone Vector store node with the Milvus Vector Store node.
+
+### Connect directly to an AI agent as a tool
+
+You can connect the Milvus Vector Store node directly to the tool connector of an [AI agent](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/index.md) to use a vector store as a resource when answering queries.
+
+Here, the connection would be: AI agent (tools connector) -> Milvus Vector Store node.
+
+### Use a retriever to fetch documents
+
+You can use the [Vector Store Retriever](/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.retrievervectorstore.md) node with the Milvus Vector Store node to fetch documents from the Milvus Vector Store node. This is often used with the [Question and Answer Chain](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainretrievalqa/index.md) node to fetch documents from the vector store that match the given chat input.
+
+An [example of the connection flow](https://n8n.io/workflows/1960-ask-questions-about-a-pdf-using-ai/) would be: Question and Answer Chain (Retriever connector) -> Vector Store Retriever (Vector Store connector) -> Milvus Vector Store. In this example, the Pinecone Vector Store node should be replaced with the Milvus Vector Store node.
+
+### Use the Vector Store Question Answer Tool to answer questions
+
+Another pattern uses the [Vector Store Question Answer Tool](/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolvectorstore.md) to summarize results and answer questions from the Milvus Vector Store node. Rather than connecting the Milvus Vector Store directly as a tool, this pattern uses a tool specifically designed to summarizes data in the vector store.
+
+The [connections flow](https://n8n.io/workflows/2705-chat-with-github-api-documentation-rag-powered-chatbot-with-pinecone-and-openai/) in this case would look like this: AI agent (tools connector) -> Vector Store Question Answer Tool (Vector Store connector) -> Milvus Vector store. In this example, the Pinecone Vector Store node should be replaced with the Milvus Vector Store node.
+	
+## Node parameters
+
+--8<-- "_snippets/integrations/builtin/cluster-nodes/vector-store-mode.md"
+
+<!-- vale from-write-good.Weasel = NO -->
+### Get Many parameters
+<!-- vale from-write-good.Weasel = YES -->
+
+* **Milvus Collection**: Select or enter the Milvus Collection to use.
+* **Prompt**: Enter your search query.
+* **Limit**: Enter how many results to retrieve from the vector store. For example, set this to `10` to get the ten best results.
+
+### Insert Documents parameters
+
+* **Milvus Collection**: Select or enter the Milvus Collection to use.
+* **Clear Collection**: Specify whether to clear the collection before inserting new documents.
+
+### Retrieve Documents (As Vector Store for Chain/Tool) parameters
+
+* **Milvus collection**: Select or enter the Milvus Collection to use.
+
+### Retrieve Documents (As Tool for AI Agent) parameters
+
+* **Name**: The name of the vector store.
+* **Description**: Explain to the LLM what this tool does. A good, specific description allows LLMs to produce expected results more often.
+* **Milvus Collection**: Select or enter the Milvus Collection to use.
+* **Limit**: Enter how many results to retrieve from the vector store. For example, set this to `10` to get the ten best results.
+
+## Node options
+
+### Metadata Filter
+
+--8<-- "_snippets/integrations/builtin/cluster-nodes/langchain-root-nodes/vector-store-metadata-filter.md"
+
+### Clear Collection
+
+Available in **Insert Documents** mode. Deletes all data from the collection before inserting the new data.
+
+## Related resources
+
+Refer to [LangChain's Milvus documentation](https://js.langchain.com/docs/integrations/vectorstores/milvus/) for more information about the service.
+
+--8<-- "_snippets/integrations/builtin/cluster-nodes/langchain-overview-link.md"
+

docs/integrations/builtin/credentials/milvus.md

@@ -0,0 +1,35 @@
+---
+#https://www.notion.so/n8n/Frontmatter-432c2b8dff1f43d4b1c8d20075510fe4
+title: Milvus credentials
+description: Documentation for the Milvus credentials. Use these credentials to authenticate Milvus in n8n, a workflow automation platform.
+contentType: [integration, reference]
+priority: high
+---
+
+# Milvus credentials
+
+You can use these credentials to authenticate the following nodes:
+
+* [Milvus Vector Store](/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoremilvus.md)
+
+## Prerequisites
+
+Create and run an [Milvus](https://milvus.io/) instance. Refer to the [Install Milvus](https://milvus.io/docs/install-overview.md) for more information.
+
+## Supported authentication methods
+
+- Basic auth
+
+## Related resources
+
+Refer to [Milvus's Authentication documentation](https://milvus.io/docs/authenticate.md?tab=docker#Authenticate-User-Access) for more information about setting up authentication.
+
+--8<-- "_snippets/integrations/builtin/cluster-nodes/langchain-overview-link.md"
+
+## Using basic auth
+
+To configure this credential, you'll need:
+
+* **Base URL**: The base URL of your Milvus instance. The default is `http://localhost:19530`.
+* **Username**: The username to authenticate to your Milvus instance. The default value is `root`.
+* **Password**: The password to authenticate to your Milvus instance. The default value is `Milvus`.

nav.yml

@@ -690,6 +690,7 @@ nav:
           - Sentiment Analysis: integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.sentimentanalysis.md
           - LangChain Code: integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.code.md
           - Simple Vector Store: integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreinmemory.md
+          - Milvus Vector Store: integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoremilvus.md
           - MongoDB Atlas Vector Store: integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoremongodbatlas.md
           - PGVector Vector Store: integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepgvector.md
           - Pinecone Vector Store: integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstorepinecone.md
@@ -925,6 +926,7 @@ nav:
         - integrations/builtin/credentials/microsoftazuremonitor.md
         - integrations/builtin/credentials/microsoftentra.md
         - integrations/builtin/credentials/microsoftsql.md
+        - integrations/builtin/credentials/milvus.md
         - integrations/builtin/credentials/mindee.md
         - integrations/builtin/credentials/miro.md
         - integrations/builtin/credentials/misp.md

styles/config/vocabularies/default/accept.txt

@@ -138,6 +138,7 @@ Meraki
 Metabase
 [Mm]iddleware
 [Mm]illicore
+Milvus('s)?
 Mindee
 [Mm]inimum
 Mocean