mongodb: migrate to repo (#27467)

libs/partners/mongodb/README.md

@@ -1,39 +1,3 @@
-# langchain-mongodb
+This package has moved!
 
-# Installation
-```
-pip install -U langchain-mongodb
-```
-
-# Usage
-- See [Getting Started with the LangChain Integration](https://www.mongodb.com/docs/atlas/atlas-vector-search/ai-integrations/langchain/#get-started-with-the-langchain-integration) for a walkthrough on using your first LangChain implementation with MongoDB Atlas.
-
-## Using MongoDBAtlasVectorSearch
-```python
-from langchain_mongodb import MongoDBAtlasVectorSearch
-
-# Pull MongoDB Atlas URI from environment variables
-MONGODB_ATLAS_CLUSTER_URI = os.environ.get("MONGODB_ATLAS_CLUSTER_URI")
-
-DB_NAME = "langchain_db"
-COLLECTION_NAME = "test"
-ATLAS_VECTOR_SEARCH_INDEX_NAME = "index_name"
-MONGODB_COLLECTION = client[DB_NAME][COLLECTION_NAME]
-
-# Create the vector search via `from_connection_string`
-vector_search = MongoDBAtlasVectorSearch.from_connection_string(
-    MONGODB_ATLAS_CLUSTER_URI,
-    DB_NAME + "." + COLLECTION_NAME,
-    OpenAIEmbeddings(disallowed_special=()),
-    index_name=ATLAS_VECTOR_SEARCH_INDEX_NAME,
-)
-
-# Initialize MongoDB python client
-client = MongoClient(MONGODB_ATLAS_CLUSTER_URI)
-# Create the vector search via instantiation
-vector_search_2 = MongoDBAtlasVectorSearch(
-    collection=MONGODB_COLLECTION,
-    embeddings=OpenAIEmbeddings(disallowed_special=()),
-    index_name=ATLAS_VECTOR_SEARCH_INDEX_NAME,
-)
-```
+https://github.com/langchain-ai/langchain-mongodb/tree/main/libs/mongodb