diff --git a/.release-please-manifest.json b/.release-please-manifest.json
index 2537c1f..f1c1e58 100644
--- a/.release-please-manifest.json
+++ b/.release-please-manifest.json
@@ -1,3 +1,3 @@
 {
-  ".": "0.4.0"
+  ".": "0.5.0"
 }
diff --git a/CHANGELOG.md b/CHANGELOG.md
index f8b2188..ddfbbc6 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,47 @@
 # Changelog
 
+## [0.5.0](https://github.com/getyourguide/dataframe-expectations/compare/v0.4.0...v0.5.0) (2025-11-22)
+
+
+### Features
+
+* **Tag-based filtering**: Add support for selective expectation execution using custom tags
+  - New `TagMatchMode` enum with `ANY` (OR logic) and `ALL` (AND logic) options
+  - Tag expectations with `"key:value"` format (e.g., `"priority:high"`, `"env:prod"`)
+  - Filter at build time: `suite.build(tags=["priority:high"], tag_match_mode=TagMatchMode.ANY)`
+  - All expectations automatically support the `tags` parameter
+  - Converted `TagSet` to Pydantic `BaseModel` with frozen configuration for immutability
+
+  ```python
+  # Tag expectations
+  suite = (
+      DataFrameExpectationsSuite()
+      .expect_value_greater_than(column_name="age", value=18, tags=["priority:high", "env:prod"])
+      .expect_value_not_null(column_name="name", tags=["priority:high"])
+      .expect_min_rows(min_rows=1, tags=["priority:low", "env:test"])
+  )
+
+  # Run only high-priority checks (OR logic)
+  runner = suite.build(tags=["priority:high"], tag_match_mode=TagMatchMode.ANY)
+
+  # Run production-critical checks (AND logic)
+  runner = suite.build(tags=["priority:high", "env:prod"], tag_match_mode=TagMatchMode.ALL)
+  ```
+
+* **Programmatic result inspection**: Enhanced `SuiteExecutionResult` for detailed validation analysis
+  - Use `raise_on_failure=False` to inspect results without raising exceptions
+  - Access comprehensive metrics: `total_expectations`, `total_passed`, `total_failed`, `pass_rate`, `total_duration_seconds`
+  - Inspect individual expectation results with status, violation counts, descriptions, and timing
+  - View applied tag filters in execution results
+  - Removed `arbitrary_types_allowed` from Pydantic models for cleaner type validation
+
+
+### Documentation
+
+- Added tag-based filtering examples to README.md
+- Updated Sphinx documentation with API references for `TagMatchMode` and `TagSet`
+- Documented programmatic result inspection with metrics access and failure analysis
+
 ## [0.4.0](https://github.com/getyourguide/dataframe-expectations/compare/v0.3.0...v0.4.0) (2025-11-10)
 
 
diff --git a/pyproject.toml b/pyproject.toml
index 8528148..d97f45c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [project]
 name = "dataframe-expectations"
-version = "0.4.0"
+version = "0.5.0"
 description = "Python library designed to validate Pandas and PySpark DataFrames using customizable, reusable expectations"
 readme = "README.md"
 requires-python = ">=3.10"