diff --git a/CHANGELOG.md b/CHANGELOG.md
new file mode 100644
index 00000000..47630288
--- /dev/null
+++ b/CHANGELOG.md
@@ -0,0 +1,49 @@
+# Changelog
+
+All notable changes to this project are documented in this file. Release notes are grouped by theme rather than listing every commit.
+
+## [0.3.0] — 2026-05-19
+
+Compared to [0.2.0](https://github.com/deeppavlov/AutoIntent/releases/tag/v0.2.0).
+
+### Breaking: slimmer default install and optional extras
+
+Heavy integrations are now **optional** and loaded **lazily** where possible. A plain `pip install autointent` pulls a smaller core set of dependencies; features that need transformers, OpenSearch, MCP, OpenAI, vLLM, and similar stacks require the matching **optional dependency groups** (see `pyproject.toml`). If you relied on everything being importable after a minimal install, pin extras explicitly in your environment.
+
+### Embeddings: OpenAI, vLLM, and training
+
+- **OpenAI embeddings** path with safer batching and tokenizer fallbacks when the API does not expose `tokenizer` metadata.
+- **vLLM** optional extra for serving-compatible embedding workflows.
+- **Embedder fine-tuning** utilities and training-oriented improvements for custom embedding models.
+
+### Scoring and search
+
+- **GCN-based scorer** for graph-style intent scoring in the AutoML search.
+- **OpenSearch** optional backend for vector index storage and retrieval alongside existing options.
+
+### Serving and integration
+
+- **MCP (Model Context Protocol)** interface plus **HTTP** serving pieces (FastAPI / related extras) for running AutoIntent behind an API or MCP host.
+
+### Data, splits, and augmentation
+
+- **Out-of-scope (OOS) intents** are **always kept separate** in dataset splits so evaluation stays honest.
+- **Adversarial augmentation** support for more robust pipelines under optimization.
+
+### Configuration and validation
+
+- **`OptimizationConfig.from_preset`** for constructing optimization settings from named presets.
+- **Split readiness checks** (including multilabel-aware validation) so you catch bad label or split geometry before long runs.
+
+### Tooling and dependency bounds
+
+- **uv**-centric developer workflow (dependency groups, reproducible installs).
+- **Python** supported through **below 3.15** (`requires-python = ">=3.10,<3.15"` in `pyproject.toml`).
+- **OpenAI Python SDK v2** (`openai>=2,<3`) in the `openai` extra.
+- **`datasets` pinned below 5** (`datasets>=3.2,<5`) for compatibility with current loaders and tests.
+
+---
+
+## [0.2.0]
+
+See the [v0.2.0 release](https://github.com/deeppavlov/AutoIntent/releases/tag/v0.2.0) on GitHub for earlier changes.
diff --git a/README.md b/README.md
index db55fd20..ec471edc 100644
--- a/README.md
+++ b/README.md
@@ -7,6 +7,8 @@ Auto ML for intent classification.
 
 Documentation: [deeppavlov.github.io/AutoIntent](https://deeppavlov.github.io/AutoIntent/).
 
+Changelog: [CHANGELOG.md](./CHANGELOG.md).
+
 The project is under active development.
 
 ## Installation
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 24693ea8..bd5a7be5 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -28,7 +28,7 @@
 project = "AutoIntent"
 copyright = "2025, DeepPavlov"
 author = "DeepPavlov"
-release = "0.2.0"
+release = "0.3.0"
 
 # -- General configuration ---------------------------------------------------
 # https://www.sphinx-doc.org/en/master/usage/configuration.html#general-configuration