From e53f59f01a2d5020e4a3248380d7a04891c8be1f Mon Sep 17 00:00:00 2001
From: Zeyang Lin <4020306+linzeyang@users.noreply.github.com>
Date: Mon, 20 Nov 2023 10:24:05 +0800
Subject: [PATCH] DOCS: doc-string -
 langchain.vectorstores.dashvector.DashVector (#13502)

- **Description:** There are several mistakes in the sample code in the
doc-string of `DashVector` class, and this pull request aims to correct
them.
The correction code has been tested against latest version (at the time
of creation of this pull request) of: `langchain==0.0.336`
`dashvector==1.0.6` .
- **Issue:** No issue is created for this.
- **Dependencies:** No dependency is required for this change,
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- **Twitter handle:** `zeyanglin`

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---
 libs/langchain/langchain/vectorstores/dashvector.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/libs/langchain/langchain/vectorstores/dashvector.py b/libs/langchain/langchain/vectorstores/dashvector.py
index 618b2be4523..51b8ed7ff31 100644
--- a/libs/langchain/langchain/vectorstores/dashvector.py
+++ b/libs/langchain/langchain/vectorstores/dashvector.py
@@ -29,15 +29,15 @@ class DashVector(VectorStore):
     Example:
         .. code-block:: python
 
-            from langchain.vectorstores import dashvector
+            from langchain.vectorstores import DashVector
             from langchain.embeddings.openai import OpenAIEmbeddings
             import dashvector
 
-            client = dashvector.Client.init(api_key="***")
-            client.create("langchain")
+            client = dashvector.Client(api_key="***")
+            client.create("langchain", dimension=1024)
             collection = client.get("langchain")
             embeddings = OpenAIEmbeddings()
-            vectorstore = Dashvector(collection, embeddings.embed_query, "text")
+            vectorstore = DashVector(collection, embeddings.embed_query, "text")
     """
 
     def __init__(