INTPYTHON-887 & INTPYTHON-899 Update langgraph-mongodb-store docs (langchain-ai#321)

Author: blink1073

README.md

@@ -38,10 +38,10 @@ It contains the following packages.
 ### LangGraph
 
 - Checkpointing (BaseCheckpointSaver)
-    - [MongoDBSaver](https://langchain-mongodb.readthedocs.io/en/latest/langgraph_checkpoint_mongodb/saver/langgraph.checkpoint.mongodb.saver.MongoDBSaver.html#mongodbsaver)
+  - [MongoDBSaver](https://www.mongodb.com/docs/atlas/ai-integrations/langgraph/#mongodb-langgraph-checkpointer--short-term-memory-)
 
 - Long-term memory (BaseStore)
-   - [MongoDBStore](https://www.mongodb.com/docs/atlas/ai-integrations/langgraph/#mongodb-langgraph-store--long-term-memory-)
+  - [MongoDBStore](https://www.mongodb.com/docs/atlas/ai-integrations/langgraph/#mongodb-langgraph-store--long-term-memory-)
 
 ## Installation
 
@@ -51,8 +51,6 @@ You can install `langchain-mongodb`, `langgraph-checkpoint-mongodb` and `langgra
 pip install langchain-mongodb langgraph-checkpoint-mongodb langgraph-store-mongodb
 ```
 
-
-
 ## Usage
 
 See [langchain-mongodb usage](libs/langchain-mongodb/README.md#usage), [langgraph-checkpoint-mongodb usage](libs/langgraph-checkpoint-mongodb/README.md#usage) and [langgraph-store-mongodb usage](libs/langgraph-store-mongodb/README.md#usage).

libs/langgraph-store-mongodb/README.md

@@ -1,3 +1,57 @@
 # langraph-store-mongodb
 
 LangGraph long-term memory using MongoDB.
+
+## Installation
+
+```bash
+pip install -U langgraph-store-mongodb
+```
+
+## Usage
+
+For more detailed usage examples and documentation, please refer to the [MongoDB LangGraph documentation](https://www.mongodb.com/docs/atlas/ai-integrations/langgraph/).
+
+```python
+from langgraph.store.mongodb import MongoDBStore, create_vector_index_config
+from langchain_voyageai import VoyageAIEmbeddings
+
+# Vector search index configuration with client-side embedding
+index_config = create_vector_index_config(
+    embed = VoyageAIEmbeddings(),
+    dims = <dimensions>,
+    fields = ["<field-name>"],
+    filters = ["<filter-field-name>", ...] # Optional
+)
+
+# Store memories in MongoDB collection
+with MongoDBStore.from_conn_string(
+     conn_string=MONGODB_URI,
+     db_name="<database-name>",
+     collection_name="<collection-name>",
+     index_config=index_config
+ ) as store:
+     store.put(
+         namespace=("user", "memories"),
+         key=f"memory_{hash(content)}",
+         value={"content": content}
+     )
+
+# Retrieve memories from MongoDB collection
+with MongoDBStore.from_conn_string(
+    conn_string=MONGODB_URI,
+    db_name="<database-name>",
+    collection_name="<collection-name>",
+    index_config=index_config
+) as store:
+     results = store.search(
+         ("user", "memories"),
+         query="<query-text>",
+         limit=3
+     )
+     for result in results:
+         print(result.value)
+
+# To delete memories, use store.delete(namespace, key)
+# To batch operations, use store.batch(ops)
+```