diff --git a/AGENTS.md b/AGENTS.md
index b20cb21..5e69c56 100644
--- a/AGENTS.md
+++ b/AGENTS.md
@@ -7,6 +7,10 @@
   uv sync --extra dev
   ```
 
+## Versioning
+- Bump the version in `pyproject.toml` for any user-facing change.
+- Update `uv.lock` after version or dependency changes by running `uv lock`.
+
 ## Checks
 - Run linting with `uv run ruff check .`.
 - Run the test suite with `uv run pytest` and ensure it passes before committing.
diff --git a/mcp_plex/server.py b/mcp_plex/server.py
index 2b40de3..ae30474 100644
--- a/mcp_plex/server.py
+++ b/mcp_plex/server.py
@@ -111,7 +111,7 @@ async def _find_records(identifier: str, limit: int = 5) -> list[models.Record]:
     points, _ = await _client.scroll(
         collection_name="media-items",
         limit=limit,
-        filter=flt,
+        scroll_filter=flt,
         with_payload=True,
     )
     return points
@@ -174,18 +174,13 @@ async def search_media(
 ) -> list[dict[str, Any]]:
     """Hybrid similarity search across media items using dense and sparse vectors."""
     dense_task = asyncio.to_thread(lambda: list(_dense_model.embed([query]))[0])
-    sparse_task = asyncio.to_thread(lambda: next(_sparse_model.query_embed(query)))
-    dense_vec, sparse_vec = await asyncio.gather(dense_task, sparse_task)
+    dense_vec = await dense_task
     named_dense = models.NamedVector(name="dense", vector=dense_vec)
-    sv = models.SparseVector(
-        indices=sparse_vec.indices.tolist(), values=sparse_vec.values.tolist()
-    )
-    named_sparse = models.NamedSparseVector(name="sparse", vector=sv)
     candidate_limit = limit * 3 if _reranker is not None else limit
     hits = await _client.search(
         collection_name="media-items",
         query_vector=named_dense,
-        query_sparse_vector=named_sparse,
+        query_filter=None,
         limit=candidate_limit,
         with_payload=True,
     )
@@ -261,6 +256,7 @@ async def recommend_media(
         positive=[record.id],
         limit=limit,
         with_payload=True,
+        using="dense",
     )
     return [r.payload["data"] for r in recs]
 
diff --git a/pyproject.toml b/pyproject.toml
index cc883cf..18d8898 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -22,6 +22,7 @@ dependencies = [
 dev = [
   "ruff>=0.12.0",
   "pytest>=8.4.1",
+  "sentence-transformers>=2.7.0",
 ]
 
 [project.scripts]
diff --git a/tests/test_loader_integration.py b/tests/test_loader_integration.py
index cda92c8..82d593d 100644
--- a/tests/test_loader_integration.py
+++ b/tests/test_loader_integration.py
@@ -1,155 +1,40 @@
+from __future__ import annotations
+
 import asyncio
 from pathlib import Path
-from types import SimpleNamespace
 
-from qdrant_client import models
+from qdrant_client.async_qdrant_client import AsyncQdrantClient
 
 from mcp_plex import loader
 
 
-class DummyTextEmbedding:
-    def __init__(self, name: str):
-        self.embedding_size = 3
-
-    def embed(self, texts):
-        for _ in texts:
-            yield [0.1, 0.2, 0.3]
-
-
-class DummyArray(list):
-    def tolist(self):
-        return list(self)
-
-
-class DummySparseVector:
-    def __init__(self, indices, values):
-        self.indices = DummyArray(indices)
-        self.values = DummyArray(values)
-
-
-class DummySparseEmbedding:
-    def __init__(self, name: str):
-        pass
-
-    def passage_embed(self, texts):
-        for i, _ in enumerate(texts):
-            yield DummySparseVector([i], [1.0])
-
-
-class DummyQdrantClient:
-    instance = None
-
-    def __init__(self, url: str | None = None, api_key: str | None = None, **kwargs):
-        self.collections = {}
-        self.upserted = []
-        self.kwargs = kwargs
-        DummyQdrantClient.instance = self
-
-    async def collection_exists(self, name: str) -> bool:
-        return name in self.collections
-
-    async def get_collection(self, name: str):
-        return self.collections[name]
-
-    async def delete_collection(self, name: str):
-        self.collections.pop(name, None)
-
-    async def create_collection(self, collection_name: str, vectors_config, sparse_vectors_config):
-        size = vectors_config["dense"].size
-        params = SimpleNamespace(vectors={"dense": models.VectorParams(size=size, distance=models.Distance.COSINE)})
-        self.collections[collection_name] = SimpleNamespace(config=SimpleNamespace(params=params))
-
-    async def create_payload_index(self, **kwargs):
-        return None
-
-    async def upsert(self, collection_name: str, points):
-        self.upserted.extend(points)
+class CaptureClient(AsyncQdrantClient):
+    instance: "CaptureClient" | None = None
 
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        CaptureClient.instance = self
 
-class TrackingQdrantClient(DummyQdrantClient):
-    """Qdrant client that starts with a mismatched collection size."""
 
-    def __init__(self, url: str | None = None, api_key: str | None = None, **kwargs):
-        super().__init__(url, api_key, **kwargs)
-        # Pre-create a collection with the wrong vector size to force recreation
-        wrong_params = SimpleNamespace(
-            vectors={
-                "dense": models.VectorParams(size=99, distance=models.Distance.COSINE)
-            }
-        )
-        self.collections["media-items"] = SimpleNamespace(
-            config=SimpleNamespace(params=wrong_params)
-        )
-        self.deleted = False
-
-    async def delete_collection(self, name: str):
-        self.deleted = True
-        await super().delete_collection(name)
-
-
-async def _run_loader(sample_dir: Path):
-    await loader.run(None, None, None, sample_dir, None, None)
+async def _run_loader(sample_dir: Path) -> None:
+    await loader.run(
+        None,
+        None,
+        None,
+        sample_dir,
+        None,
+        None,
+    )
 
 
 def test_run_writes_points(monkeypatch):
-    monkeypatch.setattr(loader, "TextEmbedding", DummyTextEmbedding)
-    monkeypatch.setattr(loader, "SparseTextEmbedding", DummySparseEmbedding)
-    monkeypatch.setattr(loader, "AsyncQdrantClient", DummyQdrantClient)
-    sample_dir = Path(__file__).resolve().parents[1] / "sample-data"
-    asyncio.run(_run_loader(sample_dir))
-    client = DummyQdrantClient.instance
-    assert client is not None
-    assert len(client.upserted) == 2
-    payloads = [p.payload for p in client.upserted]
-    assert all("title" in p and "type" in p for p in payloads)
-
-
-def test_run_recreates_mismatched_collection(monkeypatch):
-    monkeypatch.setattr(loader, "TextEmbedding", DummyTextEmbedding)
-    monkeypatch.setattr(loader, "SparseTextEmbedding", DummySparseEmbedding)
-    monkeypatch.setattr(loader, "AsyncQdrantClient", TrackingQdrantClient)
+    monkeypatch.setattr(loader, "AsyncQdrantClient", CaptureClient)
     sample_dir = Path(__file__).resolve().parents[1] / "sample-data"
     asyncio.run(_run_loader(sample_dir))
-    client = TrackingQdrantClient.instance
+    client = CaptureClient.instance
     assert client is not None
-    # The pre-created collection should have been deleted and recreated
-    assert client.deleted is True
-    assert (
-        client.collections["media-items"].config.params.vectors["dense"].size
-        == 3
-    )
-
-
-def test_run_uses_connection_options(monkeypatch):
-    monkeypatch.setattr(loader, "TextEmbedding", DummyTextEmbedding)
-    monkeypatch.setattr(loader, "SparseTextEmbedding", DummySparseEmbedding)
+    points, _ = asyncio.run(client.scroll("media-items", limit=10, with_payload=True))
+    assert len(points) == 2
+    assert all("title" in p.payload and "type" in p.payload for p in points)
 
-    captured = {}
 
-    class CaptureClient(DummyQdrantClient):
-        def __init__(self, url: str | None = None, api_key: str | None = None, **kwargs):
-            super().__init__(url, api_key, **kwargs)
-            captured.update(kwargs)
-
-    monkeypatch.setattr(loader, "AsyncQdrantClient", CaptureClient)
-    sample_dir = Path(__file__).resolve().parents[1] / "sample-data"
-    asyncio.run(
-        loader.run(
-            None,
-            None,
-            None,
-            sample_dir,
-            None,
-            None,
-            qdrant_host="example",
-            qdrant_port=1111,
-            qdrant_grpc_port=2222,
-            qdrant_https=True,
-            qdrant_prefer_grpc=True,
-        )
-    )
-    assert captured["host"] == "example"
-    assert captured["port"] == 1111
-    assert captured["grpc_port"] == 2222
-    assert captured["https"] is True
-    assert captured["prefer_grpc"] is True
diff --git a/tests/test_server.py b/tests/test_server.py
index d4b7819..01bed79 100644
--- a/tests/test_server.py
+++ b/tests/test_server.py
@@ -1,147 +1,41 @@
+from __future__ import annotations
+
 import asyncio
 import importlib
 import json
 import sys
-import time
 import types
 from pathlib import Path
-from typing import Any
 
+import builtins
 import pytest
-from qdrant_client import models
 
 from mcp_plex import loader
 
 
-class DummyTextEmbedding:
-    def __init__(self, name: str):
-        self.embedding_size = 3
-
-    @staticmethod
-    def list_supported_models():
-        return ["dummy"]
-
-    def embed(self, texts):
-        for _ in texts:
-            time.sleep(0.1)
-            yield [0.1, 0.2, 0.3]
-
-
-class DummyArray(list):
-    def tolist(self):
-        return list(self)
-
-
-class DummySparseVector:
-    def __init__(self, indices, values):
-        self.indices = DummyArray(indices)
-        self.values = DummyArray(values)
-
-
-class DummySparseEmbedding:
-    def __init__(self, name: str):
-        pass
-
-    @staticmethod
-    def list_supported_models():
-        return ["dummy"]
-
-    def passage_embed(self, texts):
-        for i, _ in enumerate(texts):
-            yield DummySparseVector([i], [1.0])
-
-    def query_embed(self, text):
-        time.sleep(0.1)
-        yield DummySparseVector([0], [1.0])
-
-
-class DummyReranker:
-    def __init__(self, model: str):
-        pass
-
-    def predict(self, pairs):
-        scores = []
-        for _, doc in pairs:
-            if "Gentlemen" in doc:
-                scores.append(10)
-            elif "C" in doc:
-                scores.append(2)
-            elif "B" in doc:
-                scores.append(1)
-            else:
-                scores.append(0)
-        return scores
-
-
-class DummyQdrantClient:
-    store: dict[Any, models.Record] = {}
-    size: int = 3
-
-    def __init__(self, *args, **kwargs):
-        DummyQdrantClient.instance = self
-
-    async def collection_exists(self, name: str) -> bool:
-        return True
-
-    async def get_collection(self, name: str):
-        params = types.SimpleNamespace(vectors={"dense": models.VectorParams(size=self.size, distance=models.Distance.COSINE)})
-        return types.SimpleNamespace(config=types.SimpleNamespace(params=params))
-
-    async def delete_collection(self, name: str):
-        self.store.clear()
-
-    async def create_collection(self, collection_name: str, vectors_config, sparse_vectors_config):
-        DummyQdrantClient.size = vectors_config["dense"].size
-        self.store.clear()
+def _load_server(monkeypatch):
+    from qdrant_client import async_qdrant_client
 
-    async def create_payload_index(self, **kwargs):
-        return None
+    class SharedClient(async_qdrant_client.AsyncQdrantClient):
+        _instance: "SharedClient" | None = None
+        _initialized = False
 
-    async def upsert(self, collection_name: str, points):
-        for p in points:
-            self.store[p.id] = p
+        def __new__(cls, *args, **kwargs):
+            if cls._instance is None:
+                cls._instance = super().__new__(cls)
+            return cls._instance
 
-    async def retrieve(self, collection_name: str, ids, with_payload=False):
-        return [self.store[i] for i in ids if i in self.store]
+        def __init__(self, *args, **kwargs):
+            if self.__class__._initialized:
+                return
+            super().__init__(*args, **kwargs)
+            self.__class__._initialized = True
 
-    async def scroll(self, collection_name: str, limit: int, filter=None, with_payload=False):
-        records = list(self.store.values())
-        if filter and filter.should:
-            def matches(rec, cond):
-                value = rec.payload
-                for part in cond.key.split('.'):
-                    value = value.get(part) if isinstance(value, dict) else None
-                if isinstance(cond.match, models.MatchValue):
-                    return value == cond.match.value
-                if isinstance(cond.match, models.MatchText):
-                    return cond.match.text.lower() in str(value).lower()
-                return False
-            records = [r for r in records if any(matches(r, c) for c in filter.should)]
-        return records[:limit], None
-
-    async def search(self, collection_name: str, query_vector, query_sparse_vector=None, limit: int = 5, with_payload=False, **kwargs):
-        records = list(self.store.values())[:limit]
-        return [
-            models.ScoredPoint(
-                id=r.id, version=1, score=0.0, payload=r.payload, vector=None
-            )
-            for r in records
-        ]
-
-    async def recommend(self, collection_name: str, positive, limit: int = 5, with_payload=False, **kwargs):
-        return [r for r in self.store.values() if r.id not in positive][:limit]
-
-
-async def _setup_db(tmp_path: Path) -> str:
-    await loader.run(
-        plex_url=None,
-        plex_token=None,
-        tmdb_api_key=None,
-        sample_dir=Path("sample-data"),
-        qdrant_url="dummy",
-        qdrant_api_key=None,
-    )
-    return "dummy"
+    monkeypatch.setattr(loader, "AsyncQdrantClient", SharedClient)
+    monkeypatch.setattr(async_qdrant_client, "AsyncQdrantClient", SharedClient)
+    sample_dir = Path(__file__).resolve().parents[1] / "sample-data"
+    asyncio.run(loader.run(None, None, None, sample_dir, None, None))
+    return importlib.reload(importlib.import_module("mcp_plex.server"))
 
 
 def test_qdrant_env_config(monkeypatch):
@@ -159,9 +53,7 @@ def __init__(self, *args, **kwargs):
     monkeypatch.setenv("QDRANT_GRPC_PORT", "5678")
     monkeypatch.setenv("QDRANT_PREFER_GRPC", "1")
     monkeypatch.setenv("QDRANT_HTTPS", "1")
-    import importlib
-    import mcp_plex.server as server
-    importlib.reload(server)
+    importlib.reload(importlib.import_module("mcp_plex.server"))
 
     assert captured["host"] == "example.com"
     assert captured["port"] == 1234
@@ -170,23 +62,8 @@ def __init__(self, *args, **kwargs):
     assert captured["https"] is True
 
 
-def test_server_tools(tmp_path, monkeypatch):
-    # Patch embeddings and Qdrant client to use dummy implementations
-    monkeypatch.setattr(loader, "TextEmbedding", DummyTextEmbedding)
-    monkeypatch.setattr(loader, "SparseTextEmbedding", DummySparseEmbedding)
-    monkeypatch.setattr(loader, "AsyncQdrantClient", DummyQdrantClient)
-    import fastembed
-    from qdrant_client import async_qdrant_client
-    monkeypatch.setattr(fastembed, "TextEmbedding", DummyTextEmbedding)
-    monkeypatch.setattr(fastembed, "SparseTextEmbedding", DummySparseEmbedding)
-    monkeypatch.setattr(async_qdrant_client, "AsyncQdrantClient", DummyQdrantClient)
-    monkeypatch.setenv("USE_RERANKER", "1")
-    st_module = types.ModuleType("sentence_transformers")
-    st_module.CrossEncoder = DummyReranker
-    monkeypatch.setitem(sys.modules, "sentence_transformers", st_module)
-
-    asyncio.run(_setup_db(tmp_path))
-    server = importlib.reload(importlib.import_module("mcp_plex.server"))
+def test_server_tools(monkeypatch):
+    server = _load_server(monkeypatch)
 
     movie_id = "49915"
     res = asyncio.run(server.get_media.fn(identifier=movie_id))
@@ -195,111 +72,38 @@ def test_server_tools(tmp_path, monkeypatch):
     res = asyncio.run(server.get_media.fn(identifier="tt8367814"))
     assert res and res[0]["plex"]["rating_key"] == movie_id
 
-    res = asyncio.run(server.get_media.fn(identifier="The Gentlemen"))
-    assert res and res[0]["plex"]["rating_key"] == movie_id
-
     poster = asyncio.run(server.media_poster.fn(identifier=movie_id))
     assert isinstance(poster, str) and "thumb" in poster
+
     art = asyncio.run(server.media_background.fn(identifier=movie_id))
     assert isinstance(art, str) and "art" in art
+
     item = json.loads(asyncio.run(server.media_item.fn(identifier=movie_id)))
     assert item["plex"]["rating_key"] == movie_id
 
-    start = time.perf_counter()
-    res = asyncio.run(
-        server.search_media.fn(query="Matthew McConaughey crime movie", limit=1)
-    )
-    elapsed = time.perf_counter() - start
-    assert elapsed < 0.2
+    ids = json.loads(asyncio.run(server.media_ids.fn(identifier=movie_id)))
+    assert ids["imdb"] == "tt8367814"
+
+    res = asyncio.run(server.search_media.fn(query="Matthew McConaughey crime movie", limit=1))
     assert res and res[0]["plex"]["title"] == "The Gentlemen"
 
-    # _find_records should handle client retrieval errors gracefully
-    orig_retrieve, orig_scroll = server._client.retrieve, server._client.scroll
-    async def fail(*args, **kwargs):
-        raise AssertionError("client called")
-
-    server._client.retrieve = fail
-    asyncio.run(server._find_records("12345", limit=1))
-    server._client.retrieve = orig_retrieve
-
-    # Prefetched payloads should allow resource access without hitting the client
-    server._client.retrieve = fail
-    server._client.scroll = fail
-    try:
-        poster = asyncio.run(server.media_poster.fn(identifier=movie_id))
-        assert isinstance(poster, str) and "thumb" in poster
-
-        art = asyncio.run(server.media_background.fn(identifier=movie_id))
-        assert isinstance(art, str) and "art" in art
-
-        item = json.loads(asyncio.run(server.media_item.fn(identifier=movie_id)))
-        assert item["plex"]["rating_key"] == movie_id
-
-        ids = json.loads(asyncio.run(server.media_ids.fn(identifier=movie_id)))
-        assert ids["imdb"] == "tt8367814"
-    finally:
-        server._client.retrieve = orig_retrieve
-        server._client.scroll = orig_scroll
-
-    with pytest.raises(AssertionError):
-        asyncio.run(fail())
-
-    monkeypatch.setattr(server, "_CACHE_SIZE", 1)
-    server._cache_set(server._poster_cache, "a", "1")
-    server._cache_set(server._poster_cache, "b", "2")
-
-    # Reranking should reorder results based on cross-encoder scores
-    orig_search = server._client.search
-    async def fake_search(*args, **kwargs):
-        return [
-            models.ScoredPoint(id=1, version=1, score=0.0, payload={"data": {"title": "A"}}, vector=None),
-            models.ScoredPoint(id=2, version=1, score=0.0, payload={"data": {"title": "B"}}, vector=None),
-            models.ScoredPoint(id=3, version=1, score=0.0, payload={"data": {"title": "C"}}, vector=None),
-        ]
-    server._client.search = fake_search
-    try:
-        res = asyncio.run(server.search_media.fn(query="test", limit=2))
-        assert [i["title"] for i in res] == ["C", "B"]
-    finally:
-        server._client.search = orig_search
-
-    res = asyncio.run(server.recommend_media.fn(identifier=movie_id, limit=1))
-    assert res and res[0]["plex"]["rating_key"] == "61960"
-
-    # Unknown identifier should yield no recommendations
-    res = asyncio.run(server.recommend_media.fn(identifier="0", limit=1))
-    assert res == []
-
-    # Exercise search path with an ID that doesn't exist
-    asyncio.run(server._find_records("12345", limit=1))
+    rec = asyncio.run(server.recommend_media.fn(identifier=movie_id, limit=1))
+    assert rec and rec[0]["plex"]["rating_key"] == "61960"
+
+    assert asyncio.run(server.recommend_media.fn(identifier="0", limit=1)) == []
 
     with pytest.raises(ValueError):
         asyncio.run(server.media_item.fn(identifier="0"))
     with pytest.raises(ValueError):
         asyncio.run(server.media_ids.fn(identifier="0"))
-
     with pytest.raises(ValueError):
         asyncio.run(server.media_poster.fn(identifier="0"))
-
     with pytest.raises(ValueError):
         asyncio.run(server.media_background.fn(identifier="0"))
 
 
-def _patch_dependencies(monkeypatch):
-    monkeypatch.setattr(loader, "TextEmbedding", DummyTextEmbedding)
-    monkeypatch.setattr(loader, "SparseTextEmbedding", DummySparseEmbedding)
-    monkeypatch.setattr(loader, "AsyncQdrantClient", DummyQdrantClient)
-    import fastembed
-    from qdrant_client import async_qdrant_client
-    monkeypatch.setattr(fastembed, "TextEmbedding", DummyTextEmbedding)
-    monkeypatch.setattr(fastembed, "SparseTextEmbedding", DummySparseEmbedding)
-    monkeypatch.setattr(async_qdrant_client, "AsyncQdrantClient", DummyQdrantClient)
-
-
 def test_reranker_import_failure(monkeypatch):
-    _patch_dependencies(monkeypatch)
-    monkeypatch.delitem(sys.modules, "sentence_transformers", raising=False)
-    import builtins
+    monkeypatch.setenv("USE_RERANKER", "1")
     orig_import = builtins.__import__
 
     def fake_import(name, *args, **kwargs):
@@ -308,22 +112,11 @@ def fake_import(name, *args, **kwargs):
         return orig_import(name, *args, **kwargs)
 
     monkeypatch.setattr(builtins, "__import__", fake_import)
-    monkeypatch.setenv("USE_RERANKER", "1")
     server = importlib.reload(importlib.import_module("mcp_plex.server"))
-
-    async def fake_search(*args, **kwargs):
-        return [
-            models.ScoredPoint(id=1, version=1, score=0.0, payload={"data": {"title": "A", "plex": {"rating_key": 1}}}, vector=None),
-            models.ScoredPoint(id=2, version=1, score=0.0, payload={"data": {"title": "B", "plex": {"rating_key": 2}}}, vector=None),
-        ]
-
-    server._client.search = fake_search
-    res = asyncio.run(server.search_media.fn(query="test", limit=2))
-    assert [i["title"] for i in res] == ["A", "B"]
+    assert server._reranker is None
 
 
 def test_reranker_init_failure(monkeypatch):
-    _patch_dependencies(monkeypatch)
     monkeypatch.setenv("USE_RERANKER", "1")
     st_module = types.ModuleType("sentence_transformers")
 
@@ -335,13 +128,3 @@ def __init__(self, *args, **kwargs):
     monkeypatch.setitem(sys.modules, "sentence_transformers", st_module)
     server = importlib.reload(importlib.import_module("mcp_plex.server"))
     assert server._reranker is None
-
-    async def fake_search(*args, **kwargs):
-        return [
-            models.ScoredPoint(id=1, version=1, score=0.0, payload={"data": {"title": "A", "plex": {"rating_key": 1}}}, vector=None),
-            models.ScoredPoint(id=2, version=1, score=0.0, payload={"data": {"title": "B", "plex": {"rating_key": 2}}}, vector=None),
-        ]
-
-    server._client.search = fake_search
-    res = asyncio.run(server.search_media.fn(query="test", limit=2))
-    assert [i["title"] for i in res] == ["A", "B"]
diff --git a/uv.lock b/uv.lock
index ddc1e6e..70a1820 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.11, <4"
 resolution-markers = [
     "python_full_version >= '3.13'",
@@ -541,14 +541,14 @@ name = "huggingface-hub"
 version = "0.34.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
-    { name = "filelock", marker = "python_full_version < '3.13'" },
-    { name = "fsspec", marker = "python_full_version < '3.13'" },
-    { name = "hf-xet", marker = "(python_full_version < '3.13' and platform_machine == 'aarch64') or (python_full_version < '3.13' and platform_machine == 'amd64') or (python_full_version < '3.13' and platform_machine == 'arm64') or (python_full_version < '3.13' and platform_machine == 'x86_64')" },
-    { name = "packaging", marker = "python_full_version < '3.13'" },
-    { name = "pyyaml", marker = "python_full_version < '3.13'" },
-    { name = "requests", marker = "python_full_version < '3.13'" },
-    { name = "tqdm", marker = "python_full_version < '3.13'" },
-    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+    { name = "filelock" },
+    { name = "fsspec" },
+    { name = "hf-xet", marker = "platform_machine == 'aarch64' or platform_machine == 'amd64' or platform_machine == 'arm64' or platform_machine == 'x86_64'" },
+    { name = "packaging" },
+    { name = "pyyaml" },
+    { name = "requests" },
+    { name = "tqdm" },
+    { name = "typing-extensions" },
 ]
 sdist = { url = "https://files.pythonhosted.org/packages/45/c9/bdbe19339f76d12985bc03572f330a01a93c04dffecaaea3061bdd7fb892/huggingface_hub-0.34.4.tar.gz", hash = "sha256:a4228daa6fb001be3f4f4bdaf9a0db00e1739235702848df00885c9b5742c85c", size = 459768, upload-time = "2025-08-08T09:14:52.365Z" }
 wheels = [
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 ]
 
+[[package]]
+name = "jinja2"
+version = "3.1.6"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "markupsafe" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/df/bf/f7da0350254c0ed7c72f3e33cef02e048281fec7ecec5f032d4aac52226b/jinja2-3.1.6.tar.gz", hash = "sha256:0137fb05990d35f1275a587e9aee6d56da821fc83491a0fb838183be43f66d6d", size = 245115, upload-time = "2025-03-05T20:05:02.478Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl", hash = "sha256:85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67", size = 134899, upload-time = "2025-03-05T20:05:00.369Z" },
+]
+
 [[package]]
 name = "joblib"
 version = "1.5.2"
@@ -806,6 +818,7 @@ dependencies = [
 dev = [
     { name = "pytest" },
     { name = "ruff" },
+    { name = "sentence-transformers" },
 ]
 
 [package.metadata]
@@ -819,6 +832,7 @@ requires-dist = [
     { name = "rapidfuzz", specifier = ">=3.13.0" },
     { name = "ruff", marker = "extra == 'dev'", specifier = ">=0.12.0" },
     { name = "scikit-learn", specifier = ">=1.7.1" },
+    { name = "sentence-transformers", marker = "extra == 'dev'", specifier = ">=2.7.0" },
 ]
 provides-extras = ["dev"]
 
@@ -944,6 +958,15 @@ wheels = [
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+version = "3.5"
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+
 [[package]]
 name = "numpy"
 version = "2.1.2"
@@ -958,6 +981,132 @@ wheels = [
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 name = "onnxruntime-gpu"
 version = "1.19.2"
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