From 91a2ea5cd6c7b137ac12f8c878788e475a86f7eb Mon Sep 17 00:00:00 2001
From: Erick Friis <erick@langchain.dev>
Date: Mon, 13 May 2024 14:27:43 -0700
Subject: [PATCH] chroma, mongodb: fix docstrings (#21629)

---
 libs/partners/chroma/langchain_chroma/vectorstores.py   | 4 ++--
 libs/partners/mongodb/langchain_mongodb/vectorstores.py | 8 ++++----
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/libs/partners/chroma/langchain_chroma/vectorstores.py b/libs/partners/chroma/langchain_chroma/vectorstores.py
index d5cb86d534d..9efbff393aa 100644
--- a/libs/partners/chroma/langchain_chroma/vectorstores.py
+++ b/libs/partners/chroma/langchain_chroma/vectorstores.py
@@ -116,8 +116,8 @@ class Chroma(VectorStore):
     Example:
         .. code-block:: python
 
-                from langchain_community.vectorstores import Chroma
-                from langchain_community.embeddings.openai import OpenAIEmbeddings
+                from langchain_chroma import Chroma
+                from langchain_openai import OpenAIEmbeddings
 
                 embeddings = OpenAIEmbeddings()
                 vectorstore = Chroma("langchain_store", embeddings)
diff --git a/libs/partners/mongodb/langchain_mongodb/vectorstores.py b/libs/partners/mongodb/langchain_mongodb/vectorstores.py
index af5501b5c8f..c87b60b7030 100644
--- a/libs/partners/mongodb/langchain_mongodb/vectorstores.py
+++ b/libs/partners/mongodb/langchain_mongodb/vectorstores.py
@@ -45,8 +45,8 @@ class MongoDBAtlasVectorSearch(VectorStore):
     Example:
         .. code-block:: python
 
-            from langchain_community.vectorstores import MongoDBAtlasVectorSearch
-            from langchain_community.embeddings.openai import OpenAIEmbeddings
+            from langchain_mongodb import MongoDBAtlasVectorSearch
+            from langchain_openai import OpenAIEmbeddings
             from pymongo import MongoClient
 
             mongo_client = MongoClient("<YOUR-CONNECTION-STRING>")
@@ -352,8 +352,8 @@ class MongoDBAtlasVectorSearch(VectorStore):
             .. code-block:: python
                 from pymongo import MongoClient
 
-                from langchain_community.vectorstores import MongoDBAtlasVectorSearch
-                from langchain_community.embeddings import OpenAIEmbeddings
+                from langchain_mongodb import MongoDBAtlasVectorSearch
+                from langchain_openai import OpenAIEmbeddings
 
                 mongo_client = MongoClient("<YOUR-CONNECTION-STRING>")
                 collection = mongo_client["<db_name>"]["<collection_name>"]