diff --git a/README.md b/README.md
index 6260d7b58..1addc5498 100644
--- a/README.md
+++ b/README.md
@@ -6,138 +6,6 @@
 [![versions](https://img.shields.io/pypi/pyversions/pydantic-core.svg)](https://github.com/pydantic/pydantic-core)
 [![license](https://img.shields.io/github/license/pydantic/pydantic-core.svg)](https://github.com/pydantic/pydantic-core/blob/main/LICENSE)
 
-This package provides the core functionality for [pydantic](https://docs.pydantic.dev) validation and serialization.
+This repository is the (archived) original home of `pydantic-core`, which is a key piece of Pydantic >= 2. It now resides inside the main `pydantic` repository.
 
-Pydantic-core is currently around 17x faster than pydantic V1.
-See [`tests/benchmarks/`](./tests/benchmarks/) for details.
-
-## Example of direct usage
-
-_NOTE: You should not need to use pydantic-core directly; instead, use pydantic, which in turn uses pydantic-core._
-
-```py
-from pydantic_core import SchemaValidator, ValidationError
-
-
-v = SchemaValidator(
-    {
-        'type': 'typed-dict',
-        'fields': {
-            'name': {
-                'type': 'typed-dict-field',
-                'schema': {
-                    'type': 'str',
-                },
-            },
-            'age': {
-                'type': 'typed-dict-field',
-                'schema': {
-                    'type': 'int',
-                    'ge': 18,
-                },
-            },
-            'is_developer': {
-                'type': 'typed-dict-field',
-                'schema': {
-                    'type': 'default',
-                    'schema': {'type': 'bool'},
-                    'default': True,
-                },
-            },
-        },
-    }
-)
-
-r1 = v.validate_python({'name': 'Samuel', 'age': 35})
-assert r1 == {'name': 'Samuel', 'age': 35, 'is_developer': True}
-
-# pydantic-core can also validate JSON directly
-r2 = v.validate_json('{"name": "Samuel", "age": 35}')
-assert r1 == r2
-
-try:
-    v.validate_python({'name': 'Samuel', 'age': 11})
-except ValidationError as e:
-    print(e)
-    """
-    1 validation error for model
-    age
-      Input should be greater than or equal to 18
-      [type=greater_than_equal, context={ge: 18}, input_value=11, input_type=int]
-    """
-```
-
-## Getting Started
-
-### Prerequisites
-
-You'll need:
-1. **[Rust](https://rustup.rs/)** - Rust stable (or nightly for coverage)
-2. **[uv](https://docs.astral.sh/uv/getting-started/installation/)** - Fast Python package manager (will install Python 3.9+ automatically)
-3. **[git](https://git-scm.com/)** - For version control
-4. **[make](https://www.gnu.org/software/make/)** - For running development commands (or use `nmake` on Windows)
-
-### Quick Start
-
-```bash
-# Clone the repository (or from your fork)
-git clone git@github.com:pydantic/pydantic-core.git
-cd pydantic-core
-
-# Install all dependencies using uv, setup pre-commit hooks, and build the development version
-make install
-```
-
-Verify your installation by running:
-
-```bash
-make
-```
-
-This runs a full development cycle: formatting, building, linting, and testing
-
-### Development Commands
-
-Run `make help` to see all available commands, or use these common ones:
-
-```bash
-make build-dev    # to build the package during development
-make build-prod   # to perform an optimised build for benchmarking
-make test         # to run the tests
-make testcov      # to run the tests and generate a coverage report
-make lint         # to run the linter
-make format       # to format python and rust code
-make all          # to run to run build-dev + format + lint + test
-```
-
-### Useful Resources
-
-* [`python/pydantic_core/_pydantic_core.pyi`](./python/pydantic_core/_pydantic_core.pyi) - Python API types
-* [`python/pydantic_core/core_schema.py`](./python/pydantic_core/core_schema.py) - Core schema definitions
-* [`tests/`](./tests) - Comprehensive usage examples
-
-## Profiling
-
-It's possible to profile the code using the [`flamegraph` utility from `flamegraph-rs`](https://github.com/flamegraph-rs/flamegraph). (Tested on Linux.) You can install this with `cargo install flamegraph`.
-
-Run `make build-profiling` to install a release build with debugging symbols included (needed for profiling).
-
-Once that is built, you can profile pytest benchmarks with (e.g.):
-
-```bash
-flamegraph -- pytest tests/benchmarks/test_micro_benchmarks.py -k test_list_of_ints_core_py --benchmark-enable
-```
-The `flamegraph` command will produce an interactive SVG at `flamegraph.svg`.
-
-## Releasing
-
-1. Bump package version locally. Do not just edit `Cargo.toml` on Github, you need both `Cargo.toml` and `Cargo.lock` to be updated.
-2. Make a PR for the version bump and merge it.
-3. Go to https://github.com/pydantic/pydantic-core/releases and click "Draft a new release"
-4. In the "Choose a tag" dropdown enter the new tag `v<the.new.version>` and select "Create new tag on publish" when the option appears.
-5. Enter the release title in the form "v<the.new.version> <YYYY-MM-DD>"
-6. Click Generate release notes button
-7. Click Publish release
-8. Go to https://github.com/pydantic/pydantic-core/actions and ensure that all build for release are done successfully.
-9. Go to https://pypi.org/project/pydantic-core/ and ensure that the latest release is published.
-10. Done 🎉
+See the current `pydantic-core` code at https://github.com/pydantic/pydantic/tree/main/pydantic-core