Update Getting Started guide, note WIP docs

docs/embedded_models.md

@@ -1,5 +1,7 @@
 # Embedded Models
 
+**NOTE:** This documentation is a stub, using the same embedded JSON model example as the README.
+
 Redis OM can store and query **nested models** like any document database, with the speed and power you get from Redis. Let's see how this works.
 
 In the next example, we'll define a new `Address` model and embed it within the `Customer` model.
@@ -12,6 +14,7 @@ from redis_om.model import (
     EmbeddedJsonModel,
     JsonModel,
     Field,
+    Migrator
 )
 
 class Address(EmbeddedJsonModel):
@@ -34,11 +37,15 @@ class Customer(JsonModel):
 
     # Creates an embedded model.
     address: Address
-```
 
-With these two models and a Redis deployment with the RedisJSON module installed, we can run queries like the following:
+# With these two models and a Redis deployment with the RedisJSON 
+# module installed, we can run queries like the following.
+
+# Before running queries, we need to run migrations to set up the
+# indexes that Redis OM will use. You can also use the `migrate`
+# CLI tool for this!
+Migrator().run()
 
-```python
 # Find all customers who live in San Antonio, TX
 Customer.find(Customer.address.city == "San Antonio",
               Customer.address.state == "TX")