Update Readme

CONTRIBUTING.md

@@ -38,5 +38,3 @@ uv run pre-commit run --all-files
    - validates tag/version match,
    - builds with `uv build --no-sources`,
    - publishes with PyPI Trusted Publishing (OIDC).
-
-No `PYPI_API_TOKEN` secret is required. Trusted Publisher must be configured in the PyPI project settings.

README.md

@@ -1,32 +1,90 @@
 # weaviate-engram
 
-Python SDK for Engram by Weaviate.
+> [!WARNING]
+> **Engram is currently in preview.** While in preview (pre-1.0), the API is subject to breaking changes without notice. Use in production at your own risk.
+
+Engram is a fully managed memory service by Weaviate. It lets you add persistent, personalized memory to AI assistants and agents — no infrastructure to set up or manage. When you add a memory, Engram processes it asynchronously through a background pipeline that extracts, deduplicates, and reconciles facts. Memories are scoped at three levels — project, user, and conversation — which can be mixed and matched freely. Each scope is backed by Weaviate's multi-tenant architecture, ensuring strong isolation between tenants.
 
 ## Requirements
 
 - Python 3.11 to 3.14
-- [uv](https://docs.astral.sh/uv/)
 
-## Local Development
+## Installation
 
 ```bash
-uv sync --all-groups
+pip install weaviate-engram
 ```
 
-Run quality checks:
-
 ```bash
-uv run ruff check .
-uv run ruff format --check .
-uv run mypy .
-uv run pytest -q
+uv add weaviate-engram
+```
+
+## Quick Start
+
+Create a project and get an API key at [console.weaviate.cloud/engram](https://console.weaviate.cloud/engram).
+
+```python
+from engram import EngramClient
+
+client = EngramClient(api_key="your-api-key")
+```
+
+**Add a memory from a string:**
+
+```python
+run = client.memories.add("Alice prefers async Python and avoids Java.", user_id="user_123")
+```
+
+**Add a memory from a conversation:**
+
+```python
+run = client.memories.add(
+    [
+        {"role": "user", "content": "What's the best way to handle retries?"},
+        {"role": "assistant", "content": "Exponential backoff with jitter is the standard approach."},
+        {"role": "user", "content": "Got it — I'll use that in my HTTP client."},
+    ],
+    user_id="user_123",
+)
 ```
 
-## Basic Usage
+**Search memories:**
 
 ```python
-from engram import AsyncEngramClient, EngramClient
+results = client.memories.search(query="What does Alice think about Python?", user_id="user_123")
+for memory in results:
+    print(memory.content)
+```
+
+**Wait for a run to complete** (memory processing is asynchronous):
+
+```python
+status = client.runs.wait(run.run_id, timeout=60.0)
+print(status.status)  # "completed" or "failed"
+print(f"+{len(status.memories_created)} ~{len(status.memories_updated)} -{len(status.memories_deleted)}")
+```
+
+## Async Client
+
+An async client is also available:
+
+```python
+from engram import AsyncEngramClient
+
+client = AsyncEngramClient(api_key="your-api-key")
 
-client = EngramClient(api_key="example-api-key")
-async_client = AsyncEngramClient(api_key="example-api-key")
+run = await client.memories.add("Alice prefers async Python and avoids Java.", user_id="user_123")
+results = await client.memories.search(query="What does Alice think about Python?", user_id="user_123")
 ```
+
+## Contributing
+
+See [CONTRIBUTING.md](CONTRIBUTING.md).
+
+## License
+
+This project is licensed under the [BSD 3-Clause License](LICENSE).
+
+## Support
+
+For questions or help, reach out to [support@weaviate.io](mailto:support@weaviate.io).