diff --git a/langchain-coordinode/langchain_coordinode/graph.py b/langchain-coordinode/langchain_coordinode/graph.py
index d94a63f..b97ce78 100644
--- a/langchain-coordinode/langchain_coordinode/graph.py
+++ b/langchain-coordinode/langchain_coordinode/graph.py
@@ -261,6 +261,63 @@ def query(
         # cypher() returns List[Dict[str, Any]] directly — column name → value.
         return self._client.cypher(query, params=params or {})
 
+    def keyword_search(
+        self,
+        query: str,
+        k: int = 5,
+        label: str = "Chunk",
+        *,
+        fuzzy: bool = False,
+        language: str = "",
+    ) -> list[dict[str, Any]]:
+        """Find nodes matching a full-text BM25 query.
+
+        Wraps ``CoordinodeClient.text_search()``.  The returned list contains
+        one dict per result with the keys ``id`` (integer internal node ID,
+        matches the key used by :meth:`similarity_search`), ``score`` (BM25
+        relevance score, higher = more relevant), and ``snippet``
+        (HTML-highlighted excerpt, may be empty).
+
+        A full-text index must exist on *label* before calling this method.
+        Create one via the Cypher DDL statement::
+
+            CREATE TEXT INDEX my_index ON :Chunk(text)
+
+        or via ``CoordinodeClient.create_text_index()``.
+
+        Args:
+            query: Full-text query string. Supports boolean operators
+                (``AND``, ``OR``, ``NOT``), phrase search
+                (``"exact phrase"``), prefix wildcards (``term*``),
+                and per-term boosting (``term^N``).
+            k: Maximum number of results to return (default 5).
+            label: Node label to search (default ``"Chunk"``).
+            fuzzy: If ``True``, apply Levenshtein-1 fuzzy matching to
+                individual terms. Increases recall at the cost of precision.
+            language: Tokenization/stemming language (e.g. ``"english"``,
+                ``"russian"``). Empty string uses the index's default language.
+
+        Returns:
+            List of result dicts sorted by descending BM25 score.
+            Returns ``[]`` if the client does not support ``text_search``
+            (e.g. bare injected clients without the full SDK) or if no
+            text index exists for *label*.
+        """
+        if not callable(getattr(self._client, "text_search", None)):
+            # Injected clients (e.g. bare coordinode-embedded LocalClient) may
+            # not implement text_search — return empty rather than AttributeError.
+            return []
+        results = self._client.text_search(
+            label,
+            query,
+            limit=k,
+            fuzzy=fuzzy,
+            language=language,
+        )
+        # Use "id" (not "node_id") for consistency with similarity_search() return
+        # format, so callers can write generic code over both methods.
+        return [{"id": r.node_id, "score": r.score, "snippet": r.snippet} for r in results]
+
     def similarity_search(
         self,
         query_vector: Sequence[float],
diff --git a/tests/unit/test_langchain_graph.py b/tests/unit/test_langchain_graph.py
new file mode 100644
index 0000000..65442f6
--- /dev/null
+++ b/tests/unit/test_langchain_graph.py
@@ -0,0 +1,152 @@
+"""Unit tests for CoordinodeGraph (langchain-coordinode).
+
+All tests use mock clients — no proto stubs or running server required.
+"""
+
+from __future__ import annotations
+
+from typing import Any
+
+from langchain_coordinode import CoordinodeGraph
+
+# ── Fake client helpers ───────────────────────────────────────────────────────
+
+
+class _FakeTextResult:
+    """Matches coordinode.client.TextResult shape."""
+
+    def __init__(self, node_id: int, score: float, snippet: str = "") -> None:
+        self.node_id = node_id
+        self.score = score
+        self.snippet = snippet
+
+
+class _ClientWithTextSearch:
+    """Minimal fake client that implements text_search()."""
+
+    def __init__(self, results: list[_FakeTextResult]) -> None:
+        self._results = results
+        self.last_call: dict[str, Any] = {}
+
+    def cypher(self, query: str, params: dict | None = None) -> list[dict]:
+        return []
+
+    def text_search(
+        self,
+        label: str,
+        query: str,
+        *,
+        limit: int = 10,
+        fuzzy: bool = False,
+        language: str = "",
+    ) -> list[_FakeTextResult]:
+        self.last_call = {
+            "label": label,
+            "query": query,
+            "limit": limit,
+            "fuzzy": fuzzy,
+            "language": language,
+        }
+        return self._results
+
+    def close(self) -> None:
+        # No-op: keeps interface parity with real CoordinodeClient.
+        return None
+
+
+class _ClientWithoutTextSearch:
+    """Fake client that does NOT implement text_search (e.g. bare LocalClient)."""
+
+    def cypher(self, query: str, params: dict | None = None) -> list[dict]:
+        return []
+
+    def close(self) -> None:
+        # No-op: keeps interface parity with real CoordinodeClient.
+        return None
+
+
+# ── Tests: keyword_search ─────────────────────────────────────────────────────
+
+
+class TestKeywordSearch:
+    def test_returns_list_of_dicts(self) -> None:
+        """keyword_search returns list[dict] with id/score/snippet keys."""
+        results = [
+            _FakeTextResult(node_id=1, score=0.95, snippet="<b>machine</b> learning"),
+            _FakeTextResult(node_id=2, score=0.72, snippet=""),
+        ]
+        client = _ClientWithTextSearch(results)
+        graph = CoordinodeGraph(client=client)
+
+        out = graph.keyword_search("machine learning", k=5, label="Article")
+
+        assert len(out) == 2
+        assert out[0] == {"id": 1, "score": 0.95, "snippet": "<b>machine</b> learning"}
+        assert out[1] == {"id": 2, "score": 0.72, "snippet": ""}
+
+    def test_passes_params_to_client(self) -> None:
+        """keyword_search forwards label, query, k, fuzzy, language to client.text_search."""
+        client = _ClientWithTextSearch([])
+        graph = CoordinodeGraph(client=client)
+
+        graph.keyword_search(
+            "deep learning",
+            k=3,
+            label="Paper",
+            fuzzy=True,
+            language="english",
+        )
+
+        assert client.last_call == {
+            "label": "Paper",
+            "query": "deep learning",
+            "limit": 3,
+            "fuzzy": True,
+            "language": "english",
+        }
+
+    def test_default_label_is_chunk(self) -> None:
+        """Default label is 'Chunk' (mirrors similarity_search default)."""
+        client = _ClientWithTextSearch([])
+        graph = CoordinodeGraph(client=client)
+
+        graph.keyword_search("query")
+
+        assert client.last_call["label"] == "Chunk"
+
+    def test_default_k_is_5(self) -> None:
+        """Default k is 5."""
+        client = _ClientWithTextSearch([])
+        graph = CoordinodeGraph(client=client)
+
+        graph.keyword_search("query")
+
+        assert client.last_call["limit"] == 5
+
+    def test_returns_empty_for_client_without_text_search(self) -> None:
+        """Returns [] gracefully when the injected client has no text_search method."""
+        client = _ClientWithoutTextSearch()
+        graph = CoordinodeGraph(client=client)
+
+        out = graph.keyword_search("query")
+
+        assert out == []
+
+    def test_returns_empty_list_when_no_results(self) -> None:
+        """Returns [] when text_search returns no results (e.g. no matching index)."""
+        client = _ClientWithTextSearch([])
+        graph = CoordinodeGraph(client=client)
+
+        out = graph.keyword_search("no match", label="Ghost")
+
+        assert out == []
+
+    def test_empty_snippet_preserved(self) -> None:
+        """snippet key is always present even when the server returns empty string."""
+        results = [_FakeTextResult(node_id=42, score=0.5)]  # snippet defaults to ""
+        client = _ClientWithTextSearch(results)
+        graph = CoordinodeGraph(client=client)
+
+        out = graph.keyword_search("test")
+
+        assert out[0]["snippet"] == ""