chore: update readme with details on dual state component setup

Author: CasperGN

examples/langgraph-checkpointer/README.md

@@ -24,6 +24,27 @@ pip install -r requirements.txt
 dapr run -f dapr.yaml
 ```
 
-This will provision the redis state store (which we use in this example, see `./components/memory.yaml`) to store the state, the Checkpointer, for the LangGraph agent to have short term memory. See [State Management](https://docs.dapr.io/developing-applications/building-blocks/state-management/) for more details on State Managenent and [LangGraph - Memory](https://docs.langchain.com/oss/python/langgraph/add-memory) for details on LangGraph Agent Memory.
+This will provision the redis & SQLite state stores (which we use in this example, see `./components/*-memory.yaml`) to store the state, the Checkpointer, for the LangGraph agent to have short term memory. See [State Management](https://docs.dapr.io/developing-applications/building-blocks/state-management/) for more details on State Managenent and [LangGraph - Memory](https://docs.langchain.com/oss/python/langgraph/add-memory) for details on LangGraph Agent Memory.
 
-This example is based on the LangGraph Academy Demo repository for [agent-memory in module-1](https://github.com/langchain-ai/langchain-academy/blob/b20cf608f2bf165e09080961537d329f813cfb20/module-1/agent-memory.ipynb).
+This example is based on the LangGraph Academy Demo repository for [agent-memory in module-1](https://github.com/langchain-ai/langchain-academy/blob/b20cf608f2bf165e09080961537d329f813cfb20/module-1/agent-memory.ipynb).
+
+## Inspect
+
+After running you'll find `./data.db`.
+
+1. Connect
+```shell
+sqlite3 data.db
+```
+
+2. List tables
+```shell
+.tables
+```
+
+3. Inspect state table
+```shell
+select * from state;
+```
+
+In this example we ran 2 threads that each had their own seperate memory checkpointer and by using dapr it was completely transparent that one was using Redis and the other SQLite DB.