diff --git a/docs/en/docs/how-to/graphql.md b/docs/en/docs/how-to/graphql.md index de149a74a..45b5ed01e 100644 --- a/docs/en/docs/how-to/graphql.md +++ b/docs/en/docs/how-to/graphql.md @@ -21,7 +21,7 @@ Here are some of the **GraphQL** libraries that have **ASGI** support. You could * [Strawberry](https://strawberry.rocks/) 🍓 * With [docs for FastAPI](https://strawberry.rocks/docs/integrations/fastapi) * [Ariadne](https://ariadnegraphql.org/) - * With [docs for FastAPI](https://ariadnegraphql.org/docs/fastapi-integration) + * With [docs for FastAPI on the project homepage](https://ariadnegraphql.org/) * [Tartiflette](https://tartiflette.io/) * With [Tartiflette ASGI](https://tartiflette.github.io/tartiflette-asgi/) to provide ASGI integration * [Graphene](https://graphene-python.org/) diff --git a/docs/en/docs/index.md b/docs/en/docs/index.md index 91b5b4fa2..b55a5fb5f 100644 --- a/docs/en/docs/index.md +++ b/docs/en/docs/index.md @@ -573,7 +573,7 @@ There are some additional dependencies you might want to install. Additional optional Pydantic dependencies: * [`pydantic-settings`](https://docs.pydantic.dev/latest/usage/pydantic_settings/) - for settings management. -* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/usage/types/extra_types/extra_types/) - for extra types to be used with Pydantic. +* [`pydantic-extra-types`](https://docs.pydantic.dev/latest/concepts/types/#extra-types) - for extra types to be used with Pydantic. Additional optional FastAPI dependencies: diff --git a/docs/en/docs/tutorial/extra-data-types.md b/docs/en/docs/tutorial/extra-data-types.md index 63c914efe..955090694 100644 --- a/docs/en/docs/tutorial/extra-data-types.md +++ b/docs/en/docs/tutorial/extra-data-types.md @@ -49,7 +49,7 @@ Here are some of the additional data types you can use: * `Decimal`: * Standard Python `Decimal`. * In requests and responses, handled the same as a `float`. -* You can check all the valid Pydantic data types here: [Pydantic data types](https://docs.pydantic.dev/latest/usage/types/types/). +* You can check all the valid Pydantic data types here: [Pydantic data types](https://docs.pydantic.dev/latest/concepts/types/). ## Example { #example }