diff --git a/CHANGELOG.md b/CHANGELOG.md
index 42807166..8f95254e 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,6 +1,14 @@
 # Changelog
 ## [Unreleased]
 
+### Changed
+
+- **Dependency updates**: lancedb 0.30.2, pydantic-ai-slim ≥1.77.0, docling ≥2.84.0, docling-core ≥2.71.0, haiku.skills ≥0.13.0, cachetools ≥7.0.5, pydantic-monty ≥0.0.9, cohere ≥5.21.1, textual ≥8.2.1, ty ≥0.0.28, ruff ≥0.15.9
+
+### Fixed
+
+- **Type checking**: Fix 37 new ty 0.0.28 diagnostics with proper None guards, assertions, and specific ignore codes
+
 ## [0.36.3] - 2026-04-01
 
 ### Fixed
diff --git a/evaluations/evaluations/evaluators/judge.py b/evaluations/evaluations/evaluators/judge.py
index 6a1d538a..932109c5 100644
--- a/evaluations/evaluations/evaluators/judge.py
+++ b/evaluations/evaluations/evaluators/judge.py
@@ -46,7 +46,7 @@ class LLMJudge:
         model_obj = get_model(model_config, config)
 
         # Create Pydantic AI agent
-        self._agent: Agent[None, LLMJudgeResponseSchema] = Agent(  # type: ignore[assignment]
+        self._agent: Agent[None, LLMJudgeResponseSchema] = Agent(  # type: ignore[assignment]  # ty: ignore[invalid-assignment]
             model=model_obj,
             output_type=LLMJudgeResponseSchema,
             system_prompt=ANSWER_EQUIVALENCE_RUBRIC,
diff --git a/evaluations/tests/test_benchmark.py b/evaluations/tests/test_benchmark.py
index b3a2aa5b..c27d0fde 100644
--- a/evaluations/tests/test_benchmark.py
+++ b/evaluations/tests/test_benchmark.py
@@ -120,10 +120,10 @@ class TestRunQaBenchmarkJudgeModel:
         return DatasetSpec(
             key="test",
             db_filename="test.lancedb",
-            document_loader=lambda: None,
+            document_loader=lambda: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
             document_mapper=lambda doc: None,
-            qa_loader=lambda: [],
-            qa_case_builder=lambda idx, doc: None,
+            qa_loader=lambda: [],  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
+            qa_case_builder=lambda idx, doc: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
         )
 
     @pytest.mark.asyncio
@@ -176,10 +176,10 @@ class TestEvaluateDatasetJudgeModel:
                 spec=DatasetSpec(
                     key="test",
                     db_filename="test.lancedb",
-                    document_loader=lambda: None,
+                    document_loader=lambda: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
                     document_mapper=lambda doc: None,
-                    qa_loader=lambda: [],
-                    qa_case_builder=lambda idx, doc: None,
+                    qa_loader=lambda: [],  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
+                    qa_case_builder=lambda idx, doc: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
                 ),
                 config=AppConfig(),
                 skip_db=True,
diff --git a/evaluations/tests/test_config.py b/evaluations/tests/test_config.py
index 8ad52669..60f96aee 100644
--- a/evaluations/tests/test_config.py
+++ b/evaluations/tests/test_config.py
@@ -15,7 +15,7 @@ def _make_spec(**kwargs: object) -> DatasetSpec:
         "qa_case_builder": lambda idx, doc: None,
     }
     defaults.update(kwargs)
-    return DatasetSpec(**defaults)  # type: ignore[arg-type]
+    return DatasetSpec(**defaults)  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
 
 
 class TestDatasetSpecDbPath:
diff --git a/evaluations/tests/test_datasets.py b/evaluations/tests/test_datasets.py
index 9f38b71e..1b3feffc 100644
--- a/evaluations/tests/test_datasets.py
+++ b/evaluations/tests/test_datasets.py
@@ -201,7 +201,7 @@ class TestHotpotQA:
                 }
             },
         ]
-        docs = extract_unique_documents(dataset)  # type: ignore[arg-type]
+        docs = extract_unique_documents(dataset)  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
         assert len(docs) == 3
         titles = [d["title"] for d in docs]
         assert titles == ["Doc A", "Doc B", "Doc C"]
diff --git a/evaluations/tests/test_optimization.py b/evaluations/tests/test_optimization.py
index 55e2b81e..7f108072 100644
--- a/evaluations/tests/test_optimization.py
+++ b/evaluations/tests/test_optimization.py
@@ -131,7 +131,7 @@ class TestEvaluateAsync:
     ) -> None:
         stub_qa = AsyncMock()
         stub_qa.answer = AsyncMock(return_value=("X is a thing.", []))
-        adapter._judge = AsyncMock(return_value=(0.85, "Good answer"))  # type: ignore[method-assign]
+        adapter._judge = AsyncMock(return_value=(0.85, "Good answer"))  # type: ignore[method-assign]  # ty: ignore[invalid-assignment]
 
         result = await adapter._evaluate_async(
             sample_cases, stub_qa, capture_traces=False
@@ -151,7 +151,7 @@ class TestEvaluateAsync:
     ) -> None:
         stub_qa = AsyncMock()
         stub_qa.answer = AsyncMock(return_value=("An answer.", []))
-        adapter._judge = AsyncMock(return_value=(0.9, "Almost perfect"))  # type: ignore[method-assign]
+        adapter._judge = AsyncMock(return_value=(0.9, "Almost perfect"))  # type: ignore[method-assign]  # ty: ignore[invalid-assignment]
 
         result = await adapter._evaluate_async(
             sample_cases, stub_qa, capture_traces=True
@@ -214,7 +214,7 @@ class TestReflectionLM:
             prompts_received.append(prompt)
             return original_run_sync(prompt, **kwargs)
 
-        lm._agent.run_sync = capturing_run_sync  # type: ignore[method-assign]
+        lm._agent.run_sync = capturing_run_sync  # type: ignore[method-assign]  # ty: ignore[invalid-assignment]
 
         messages: list[dict[str, Any]] = [
             {"role": "system", "content": "You are helpful."},
@@ -287,10 +287,10 @@ class TestRunOptimization:
         return DatasetSpec(
             key="test",
             db_filename="test.lancedb",
-            document_loader=lambda: None,
+            document_loader=lambda: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
             document_mapper=lambda doc: None,
-            qa_loader=lambda: None,
-            qa_case_builder=lambda idx, doc: None,
+            qa_loader=lambda: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
+            qa_case_builder=lambda idx, doc: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
             system_prompt="You are a test assistant.",
         )
 
@@ -348,10 +348,10 @@ class TestRunOptimization:
         spec = DatasetSpec(
             key="test",
             db_filename="test.lancedb",
-            document_loader=lambda: None,
+            document_loader=lambda: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
             document_mapper=lambda doc: None,
-            qa_loader=lambda: None,
-            qa_case_builder=lambda idx, doc: None,
+            qa_loader=lambda: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
+            qa_case_builder=lambda idx, doc: None,  # type: ignore[arg-type]  # ty: ignore[invalid-argument-type]
         )
         cases = _make_cases(4)
 
diff --git a/haiku_rag_slim/haiku/rag/agents/research/graph.py b/haiku_rag_slim/haiku/rag/agents/research/graph.py
index 320b9d7a..11a5b02b 100644
--- a/haiku_rag_slim/haiku/rag/agents/research/graph.py
+++ b/haiku_rag_slim/haiku/rag/agents/research/graph.py
@@ -66,7 +66,7 @@ async def _iterative_plan_logic(
         effective_prompt = build_prompt(ITERATIVE_PLAN_PROMPT, config)
 
     model = get_model(model_config, config)
-    plan_agent: Agent[ResearchDependencies, IterativePlanResult] = Agent(  # type: ignore[assignment]
+    plan_agent: Agent[ResearchDependencies, IterativePlanResult] = Agent(  # type: ignore[assignment]  # ty: ignore[invalid-assignment]
         model=model,
         output_type=IterativePlanResult,
         instructions=effective_prompt,
@@ -116,7 +116,7 @@ async def _search_one_step_logic(
 
     async with deps.semaphore:
         model = get_model(model_config, config)
-        agent: Agent[ResearchDependencies, RawSearchAnswer] = Agent(  # type: ignore[assignment]
+        agent: Agent[ResearchDependencies, RawSearchAnswer] = Agent(  # type: ignore[assignment]  # ty: ignore[invalid-assignment]
             model=model,
             output_type=RawSearchAnswer,
             instructions=search_prompt,
@@ -218,7 +218,7 @@ def build_research_graph(
         deps = ctx.deps
 
         model = get_model(model_config, config)
-        agent: Agent[ResearchDependencies, ResearchReport] = Agent(  # type: ignore[assignment]
+        agent: Agent[ResearchDependencies, ResearchReport] = Agent(  # type: ignore[assignment]  # ty: ignore[invalid-assignment]
             model=model,
             output_type=ResearchReport,
             instructions=synthesis_prompt,
diff --git a/haiku_rag_slim/haiku/rag/agents/rlm/agent.py b/haiku_rag_slim/haiku/rag/agents/rlm/agent.py
index 4c234832..8d2a13bb 100644
--- a/haiku_rag_slim/haiku/rag/agents/rlm/agent.py
+++ b/haiku_rag_slim/haiku/rag/agents/rlm/agent.py
@@ -22,7 +22,7 @@ def create_rlm_agent(config: AppConfig) -> Agent[RLMDeps, RLMResult]:
     """
     model = get_model(config.rlm.model, config)
 
-    agent: Agent[RLMDeps, RLMResult] = Agent(  # type: ignore[invalid-assignment]
+    agent: Agent[RLMDeps, RLMResult] = Agent(  # type: ignore[assignment]  # ty: ignore[invalid-assignment]
         model,
         deps_type=RLMDeps,
         output_type=RLMResult,
diff --git a/haiku_rag_slim/haiku/rag/chat/widgets/document_filter_modal.py b/haiku_rag_slim/haiku/rag/chat/widgets/document_filter_modal.py
index 45a05ebb..1f45df4d 100644
--- a/haiku_rag_slim/haiku/rag/chat/widgets/document_filter_modal.py
+++ b/haiku_rag_slim/haiku/rag/chat/widgets/document_filter_modal.py
@@ -122,7 +122,7 @@ class DocumentFilterModal(ModalScreen):
                 id=f"doc-{hash(display_name)}",
                 classes="doc-checkbox",
             )
-            checkbox._doc_id = display_name  # type: ignore[attr-defined]
+            checkbox._doc_id = display_name  # type: ignore[attr-defined]  # ty: ignore[unresolved-attribute]
             await filter_list.mount(checkbox)
 
         self._update_footer()
diff --git a/haiku_rag_slim/haiku/rag/client.py b/haiku_rag_slim/haiku/rag/client.py
index ba932fe6..aff7e91c 100644
--- a/haiku_rag_slim/haiku/rag/client.py
+++ b/haiku_rag_slim/haiku/rag/client.py
@@ -987,7 +987,8 @@ class HaikuRAG:
             )
 
         # Content provided without chunks - convert, chunk, and embed using primitives
-        existing_doc.content = content  # type: ignore[assignment]
+        assert content is not None
+        existing_doc.content = content
         converted_docling = await self.convert(existing_doc.content)
         existing_doc.docling_document = compress_json(
             converted_docling.model_dump_json()
@@ -1783,20 +1784,22 @@ class HaikuRAG:
                 invalidate_docling_document_cache(doc.id)
 
         # Batch update documents using merge_insert (single LanceDB version)
-        doc_records = [
-            DocumentRecord(
-                id=doc.id,  # type: ignore[arg-type]
-                content=doc.content,
-                uri=doc.uri,
-                title=doc.title,
-                metadata=json.dumps(doc.metadata),
-                docling_document=doc.docling_document,
-                docling_version=doc.docling_version,
-                created_at=doc.created_at.isoformat() if doc.created_at else now,
-                updated_at=now,
+        doc_records = []
+        for doc in documents:
+            assert doc.id is not None
+            doc_records.append(
+                DocumentRecord(
+                    id=doc.id,
+                    content=doc.content,
+                    uri=doc.uri,
+                    title=doc.title,
+                    metadata=json.dumps(doc.metadata),
+                    docling_document=doc.docling_document,
+                    docling_version=doc.docling_version,
+                    created_at=doc.created_at.isoformat() if doc.created_at else now,
+                    updated_at=now,
+                )
             )
-            for doc in documents
-        ]
 
         self.store.documents_table.merge_insert("id").when_matched_update_all().execute(
             doc_records
@@ -1983,7 +1986,7 @@ class HaikuRAG:
             self._config.embeddings.model.provider == "sentence-transformers"
         ):  # pragma: no cover
             try:
-                from sentence_transformers import (  # type: ignore[import-not-found]
+                from sentence_transformers import (  # type: ignore[import-not-found]  # ty: ignore[unresolved-import]
                     SentenceTransformer,
                 )
 
diff --git a/haiku_rag_slim/haiku/rag/inspector/widgets/search_modal.py b/haiku_rag_slim/haiku/rag/inspector/widgets/search_modal.py
index 07868884..36286d85 100644
--- a/haiku_rag_slim/haiku/rag/inspector/widgets/search_modal.py
+++ b/haiku_rag_slim/haiku/rag/inspector/widgets/search_modal.py
@@ -145,8 +145,10 @@ class SearchModal(Screen):
         if event.list_view != list_view or event.item is None:
             return
         idx = event.list_view.index
+        if idx is None:
+            return
         detail_view = self.query_one("#search-detail", DetailView)
-        await detail_view.show_search_result(self.chunks[idx], self.search_results[idx])  # type: ignore[index]
+        await detail_view.show_search_result(self.chunks[idx], self.search_results[idx])
 
     async def on_list_view_selected(self, event: ListView.Selected) -> None:
         """Handle chunk selection (Enter key)."""
@@ -154,7 +156,9 @@ class SearchModal(Screen):
         if event.list_view != list_view:
             return
         idx = event.list_view.index
-        self.post_message(self.ChunkSelected(self.chunks[idx]))  # type: ignore[index]
+        if idx is None:
+            return
+        self.post_message(self.ChunkSelected(self.chunks[idx]))
         self.app.pop_screen()
 
     async def action_dismiss(self, result=None) -> None:
@@ -172,7 +176,7 @@ class SearchModal(Screen):
         from haiku.rag.inspector.widgets.visual_modal import VisualGroundingModal
 
         # Use app's _switch_modal to close this modal before opening visual
-        await self.app._switch_modal(  # type: ignore[attr-defined]
+        await self.app._switch_modal(  # type: ignore[attr-defined]  # ty: ignore[unresolved-attribute]
             VisualGroundingModal(
                 chunk=chunk,
                 client=self.client,
diff --git a/haiku_rag_slim/pyproject.toml b/haiku_rag_slim/pyproject.toml
index 02352d16..ef6f2104 100644
--- a/haiku_rag_slim/pyproject.toml
+++ b/haiku_rag_slim/pyproject.toml
@@ -22,17 +22,17 @@ classifiers = [
 ]
 
 dependencies = [
-    "cachetools>=7.0.2",
-    "docling-core>=2.70.2",
-    "haiku.skills>=0.12.0",
+    "cachetools>=7.0.5",
+    "docling-core>=2.71.0",
+    "haiku.skills>=0.13.0",
     "httpx>=0.28.1",
     "jinja2>=3.1.0",
     "jsonpatch>=1.33",
-    "lancedb==0.29.2",
+    "lancedb==0.30.2",
     "pathspec>=1.0.4",
     "pydantic>=2.12.5",
-    "pydantic-ai-slim[openai,fastmcp,logfire,ag-ui]>=1.70.0",
-    "pydantic-monty>=0.0.8",
+    "pydantic-ai-slim[openai,fastmcp,logfire,ag-ui]>=1.77.0",
+    "pydantic-monty>=0.0.9",
     "python-dotenv>=1.2.2",
     "pyyaml>=6.0.3",
     "rich>=14.3.3",
@@ -42,16 +42,16 @@ dependencies = [
 
 [project.optional-dependencies]
 # Document processing
-docling = ["docling>=2.81.0", "opencv-python-headless>=4.13.0.92"]
+docling = ["docling>=2.84.0", "opencv-python-headless>=4.13.0.92"]
 # Embedding providers
 voyageai = ["pydantic-ai-slim[voyageai]"]
 # Rerankers
 mxbai = ["mxbai-rerank>=0.1.6"]
-cohere = ["cohere>=5.20.7"]
+cohere = ["cohere>=5.21.1"]
 zeroentropy = ["zeroentropy>=0.1.0a11"]
 jina = ["transformers>=4.40.0", "torch>=2.0.0"]
 # TUI (chat and inspect commands)
-tui = ["textual>=8.0.2", "textual-image>=0.8.5"]
+tui = ["textual>=8.2.1", "textual-image>=0.8.5"]
 # Model providers (delegated to pydantic-ai-slim)
 anthropic = ["pydantic-ai-slim[anthropic]"]
 groq = ["pydantic-ai-slim[groq]"]
diff --git a/pyproject.toml b/pyproject.toml
index 53385803..1aa8dd97 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -67,21 +67,21 @@ members = ["haiku_rag_slim", "evaluations"]
 [dependency-groups]
 dev = [
     "haiku.rag-evals",
-    "datasets>=4.6.1",
+    "datasets>=4.8.4",
     "mkdocs>=1.6.1",
-    "mkdocs-material>=9.7.4",
+    "mkdocs-material>=9.7.6",
     "pre-commit>=4.5.1",
     "pydantic-ai-slim[anthropic]",
     "pydantic-ai-slim[bedrock]",
     "pydantic-ai-slim[google]",
     "pydantic-ai-slim[groq]",
-    "ty>=0.0.20",
+    "ty>=0.0.28",
     "pytest>=9.0.2",
     "pytest-asyncio>=1.3.0",
-    "pytest-cov>=7.0.0",
+    "pytest-cov>=7.1.0",
     "pytest-recording>=0.13.4",
-    "pytest-xdist>=3.0",
-    "ruff>=0.15.4",
+    "pytest-xdist>=3.8.0",
+    "ruff>=0.15.9",
 ]
 
 [tool.ruff]
diff --git a/uv.lock b/uv.lock
index 07e4f630..859c8e1a 100644
--- a/uv.lock
+++ b/uv.lock
@@ -529,7 +529,7 @@ wheels = [
 
 [[package]]
 name = "cohere"
-version = "5.20.7"
+version = "5.21.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "fastavro" },
@@ -541,9 +541,9 @@ dependencies = [
     { name = "types-requests" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/44/0b/96e2b55a0114ed9d69b3154565f54b764e7530735426290b000f467f4c0f/cohere-5.20.7.tar.gz", hash = "sha256:997ed85fabb3a1e4a4c036fdb520382e7bfa670db48eb59a026803b6f7061dbb", size = 184986, upload-time = "2026-02-25T01:22:18.673Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/d2/75/4c346f6e2322e545f8452692304bd4eca15a2a0209ab9af6a0d1a7810b67/cohere-5.21.1.tar.gz", hash = "sha256:e5ade4423b928b01ff2038980e1b62b2a5bb412c8ab83e30882753b810a5509f", size = 191272, upload-time = "2026-03-26T15:09:27.857Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/9d/86/dc991a75e3b9c2007b90dbfaf7f36fdb2457c216f799e26ce0474faf0c1f/cohere-5.20.7-py3-none-any.whl", hash = "sha256:043fef2a12c30c07e9b2c1f0b869fd66ffd911f58d1492f87e901c4190a65914", size = 323389, upload-time = "2026-02-25T01:22:16.902Z" },
+    { url = "https://files.pythonhosted.org/packages/0a/50/5538f02ec6d10fbb84f29c1b18c68ff2a03d7877926a80275efdf8755a9f/cohere-5.21.1-py3-none-any.whl", hash = "sha256:f15592ec60d8cf12f01563db94ec28c388c61269d9617f23c2d6d910e505344e", size = 334262, upload-time = "2026-03-26T15:09:26.284Z" },
 ]
 
 [[package]]
@@ -872,7 +872,7 @@ wheels = [
 
 [[package]]
 name = "docling"
-version = "2.81.0"
+version = "2.84.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "accelerate" },
@@ -907,14 +907,14 @@ dependencies = [
     { name = "tqdm" },
     { name = "typer" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/40/4d/23340afd09522e0428bca3cc721f7c1cb856ba646357570e1baf2a060b3a/docling-2.81.0.tar.gz", hash = "sha256:7a1d45295b9fcf8b506c67747ae311c0b7e8f80b8e70001e1849e21c0864ac08", size = 390757, upload-time = "2026-03-20T21:34:15.588Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6f/1f/85560d7ba90a20f46c65396b45990fad34b7c95da23ca6e547456631d0e6/docling-2.84.0.tar.gz", hash = "sha256:007b0bad3c0ec45dc91af6083cbe1f0a93ddef1686304f466e8a168a1fb1dccb", size = 425470, upload-time = "2026-04-01T18:36:31.377Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/b0/43/88390014f7b7b03a5fa2446851d0ec69e92a3f2414da19bf2793ab642eb2/docling-2.81.0-py3-none-any.whl", hash = "sha256:4f264d06b1415d9d27034145148d115ab3d4b72eb4daa3fdbea7356d6f70f92f", size = 423326, upload-time = "2026-03-20T21:34:13.824Z" },
+    { url = "https://files.pythonhosted.org/packages/22/e1/054e6ddf45e5760d51053b93b1a4f8be1568882b50c5ceeb88e6adaa6918/docling-2.84.0-py3-none-any.whl", hash = "sha256:ee431e5bb20cbebdd957f6173918f133d769340462814f3479df3446743d240e", size = 451391, upload-time = "2026-04-01T18:36:29.379Z" },
 ]
 
 [[package]]
 name = "docling-core"
-version = "2.70.2"
+version = "2.71.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "defusedxml" },
@@ -929,9 +929,9 @@ dependencies = [
     { name = "typer" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/69/fb/2d88db67502418bb3e04e7ed2ac1893510d0c93c33defef08a6047d705e8/docling_core-2.70.2.tar.gz", hash = "sha256:f4cf53c86afc0f14bd526f9ee94125f68f77a284a079a99d1b83c9368ab5508c", size = 300733, upload-time = "2026-03-20T15:38:12.816Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c4/5e/0e5463bcbb2de3ae8f35f76a1e98b201b373b71783120f57daa4d5bc4683/docling_core-2.71.0.tar.gz", hash = "sha256:4caa9f50c68b9dd332584ae16170b36db05d773532b14d7078b580d89d8bd2a4", size = 302901, upload-time = "2026-03-30T15:48:20.997Z" }
 wheels = [
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