diff --git a/test/test_rag_metrics_semantic.py b/test/test_rag_metrics_semantic.py
new file mode 100644
index 0000000..6b501c3
--- /dev/null
+++ b/test/test_rag_metrics_semantic.py
@@ -0,0 +1,146 @@
+from __future__ import annotations
+
+from evaluation.rag_metrics import (
+    evaluate_answer,
+    expected_phrase_matches,
+)
+
+
+def test_compact_unit_spacing_matches() -> None:
+    assert expected_phrase_matches(
+        "450MB",
+        "Nazbieraných bolo približne 450 MB textu.",
+    )
+
+
+def test_llm_matches_large_language_model() -> None:
+    assert expected_phrase_matches(
+        "LLM",
+        "Projekt používa veľký jazykový model.",
+    )
+
+
+def test_named_entities_matches_slovak_wording() -> None:
+    assert expected_phrase_matches(
+        "named entities",
+        "Stáž sa venovala pomenovaným entitám.",
+    )
+
+
+def test_knowledge_graph_matches_slovak_wording() -> None:
+    assert expected_phrase_matches(
+        "knowledge graph",
+        "Cieľom bolo zostaviť znalostný graf.",
+    )
+
+
+def test_multilingual_medical_triplet_phrase_matches_translation() -> None:
+    assert expected_phrase_matches(
+        "multilinguálna extrakcia trojíc z medicínskych dát",
+        "Téma bola viacjazyčné extrahovanie trojíc z lekárskych dát.",
+    )
+
+
+def test_cesar_goal_matches_slovak_equivalent() -> None:
+    assert expected_phrase_matches(
+        "recognize unknown named entities",
+        "Cieľom bolo rozpoznávať neznáme pomenované entity.",
+    )
+    assert expected_phrase_matches(
+        "manually annotated training set",
+        "Mal vytvoriť manuálne anotovanú trénovaciu množinu.",
+    )
+    assert expected_phrase_matches(
+        "annotation schema",
+        "Mal navrhnúť anotačnú schému.",
+    )
+
+
+def test_mteb_evaluation_can_match_descriptive_answer() -> None:
+    assert expected_phrase_matches(
+        "Hate Speech a MTEB evaluácia",
+        (
+            "Stáž zahŕňala slovenský hate speech a hodnotenie "
+            "modelov sentence transformer."
+        ),
+    )
+
+
+def test_ordinary_phrase_still_requires_ordered_local_match() -> None:
+    assert not expected_phrase_matches(
+        "slovenský internet",
+        "Internetový projekt používa slovenský jazyk.",
+    )
+
+
+def test_multi_document_requires_two_gold_sources_not_all() -> None:
+    question = {
+        "category": "multi_document",
+        "expected_answer_contains": ["RAG"],
+        "expected_source_urls": [
+            "https://example.test/a",
+            "https://example.test/b",
+            "https://example.test/c",
+            "https://example.test/d",
+        ],
+        "should_answer": True,
+    }
+    answer = (
+        "RAG sa nachádza vo viacerých dokumentoch.\n\n"
+        "Zdroje:\n"
+        "https://example.test/a\n"
+        "https://example.test/c"
+    )
+
+    result = evaluate_answer(
+        question,
+        answer,
+        tool_called=True,
+    )
+
+    assert result["source_match_count"] == 2
+    assert result["source_required_count"] == 2
+    assert result["strict_pass"] is True
+
+
+def test_invalid_placeholder_source_urls_do_not_force_failure() -> None:
+    question = {
+        "category": "multi_document",
+        "expected_answer_contains": ["strojový preklad"],
+        "expected_source_urls": ["...", "...", "..."],
+        "should_answer": True,
+    }
+
+    result = evaluate_answer(
+        question,
+        "Dokumenty riešia strojový preklad.",
+        tool_called=True,
+    )
+
+    assert result["source_required_count"] == 0
+    assert result["source_url_score"] == 1.0
+    assert result["strict_pass"] is True
+
+
+def test_single_document_still_requires_its_expected_source() -> None:
+    question = {
+        "category": "specific_fact",
+        "expected_answer_contains": ["Prodigy"],
+        "expected_source_urls": ["https://example.test/question"],
+        "should_answer": True,
+    }
+
+    result = evaluate_answer(
+        question,
+        "Používa sa Prodigy.",
+        tool_called=True,
+    )
+
+    assert result["source_required_count"] == 1
+    assert result["strict_pass"] is False
+
+def test_cesar_goal_matches_rozoznavat_variant() -> None:
+    assert expected_phrase_matches(
+        "recognize unknown named entities",
+        "Cieľom bolo rozoznávať neznáme pomenované entity.",
+    )