Sure, here's an example of a FastAPI endpoint that saves people of France to the database using SQLAlchemy and Pydantic:

```python
from fastapi import FastAPI, HTTPException
from pydantic import BaseModel
from sqlalchemy import Column, Integer, String
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker

from app.api.models.people_model import *
from app.api.schemas.people_schema import *
app = FastAPI()

# SQLAlchemy setup
Base = declarative_base()
engine = create_engine('sqlite:///people.db', connect_args={'check_same_thread': False})
Session = sessionmaker(bind=engine)

# SQLAlchemy model

    class Config:
        orm_mode = True

# FastAPI endpoint
@app.post('/people', response_model=PersonSchema)
def create_person(person: PersonSchema):
    session = Session()
    try:
        new_person = Person(name=person.name, city=person.city)
        session.add(new_person)
        session.commit()
        return new_person
    except Exception as e:
        session.rollback()
        raise HTTPException(status_code=500, detail=str(e))
    finally:
        session.close()
```

Here's a breakdown of the code:

1. We import the necessary modules and create a FastAPI instance.
2. We set up SQLAlchemy with a SQLite database and define a `Person` model with `name` and `city` columns.
3. We create a Pydantic schema `PersonSchema` to validate the request data.
4. We define a FastAPI endpoint `/people` with the `POST` method and use the `PersonSchema` as the request body and response model.
5. Inside the endpoint function `create_person`, we create a new SQLAlchemy session and try to add a new `Person` instance to the database using the provided `name` and `city` from the request data.
6. If the operation is successful, we commit the changes and return the newly created `Person` instance.
7. If an exception occurs, we roll back the transaction and raise an `HTTPException` with a 500 status code and the error message.
8. Finally, we close the SQLAlchemy session.

To use this endpoint, you can send a POST request to `http://localhost:8000/people` with a JSON payload containing the `name` and `city` fields, like this:

```json
{
    "name": "John Doe",
    "city": "Paris"
}
```

The endpoint will create a new person in the database and return the created person object as a JSON response.

Note: Make sure you have the required dependencies installed (`fastapi`, `pydantic`, and `sqlalchemy`).