chore: Updating docs to fix some outdated assets (e.g. release process)

Signed-off-by: Danny Chiao <danny@tecton.ai>

.github/auto_assign.yml

@@ -9,7 +9,6 @@ assignees:
   - woop
   - tsotnet
   - achals
-  - adchia
   - felixwang9817
 
 # A number of assignees to add to the pull request

CODEOWNERS

@@ -2,16 +2,16 @@
 # for more info about CODEOWNERS file
 
 # Core Interfaces
-/sdk/python/feast/infra/offline_stores/offline_store.py @feast-dev/maintainers @chhabrakadabra @mavysavydav @sfc-gh-madkins
+/sdk/python/feast/infra/offline_stores/offline_store.py @feast-dev/maintainers @sfc-gh-madkins
 /sdk/python/feast/infra/online_stores/online_store.py @feast-dev/maintainers @DvirDukhan
 /sdk/python/feast/infra/materialization_engine/batch_materialization_engine.py @feast-dev/maintainers @whoahbot @sfc-gh-madkins
 
 # ==== Offline Stores ====
 # Core utils
-/sdk/python/feast/infra/offline_stores/offline_utils.py @feast-dev/maintainers @chhabrakadabra @mavysavydav @sfc-gh-madkins
+/sdk/python/feast/infra/offline_stores/offline_utils.py @feast-dev/maintainers @sfc-gh-madkins
 
 # BigQuery
-/sdk/python/feast/infra/offline_stores/offline_store.py @feast-dev/maintainers @chhabrakadabra @mavysavydav
+/sdk/python/feast/infra/offline_stores/offline_store.py @feast-dev/maintainers
 
 # Snowflake
 /sdk/python/feast/infra/offline_stores/snowflake* @sfc-gh-madkins
@@ -47,8 +47,3 @@
 
 # AWS Lambda
 /sdk/python/feast/infra/materialization/contrib/aws_lambda/ @achals
-
-# ==== Web UI ====
-/ui/ @adchia
-/sdk/python/feast/ui/ @adchia
-/sdk/python/feast/ui_server.py @adchia

README.md

@@ -27,7 +27,7 @@ Feast allows ML platform teams to:
 * **Avoid data leakage** by generating point-in-time correct feature sets so data scientists can focus on feature engineering rather than debugging error-prone dataset joining logic. This ensure that future feature values do not leak to models during training.
 * **Decouple ML from data infrastructure** by providing a single data access layer that abstracts feature storage from feature retrieval, ensuring models remain portable as you move from training models to serving models, from batch models to realtime models, and from one data infra system to another.
 
-Please see our [documentation](https://docs.feast.dev/) for more information about the project, or sign up for an [email newsletter](https://feast.dev/).
+Please see our [documentation](https://docs.feast.dev/) for more information about the project.
 
 ## 📐 Architecture
 ![](docs/assets/feast_marchitecture.png)
@@ -145,7 +145,6 @@ pprint(feature_vector)
 The list below contains the functionality that contributors are planning to develop for Feast.
 
 * We welcome contribution to all items in the roadmap!
-* Have questions about the roadmap? Go to the Slack channel to ask on #feast-development.
 
 * **Data Sources**
   * [x] [Snowflake source](https://docs.feast.dev/reference/data-sources/snowflake)
@@ -214,7 +213,6 @@ Please refer to the official documentation at [Documentation](https://docs.feast
  * [Tutorials](https://docs.feast.dev/tutorials/tutorials-overview)
  * [Running Feast with Snowflake/GCP/AWS](https://docs.feast.dev/how-to-guides/feast-snowflake-gcp-aws)
  * [Change Log](https://github.com/feast-dev/feast/blob/master/CHANGELOG.md)
- * [Slack (#Feast)](https://slack.feast.dev/)
 
 ## 👋 Contributing
 Feast is a community project and is still under active development. Please have a look at our contributing and development guides if you want to contribute to the project: