feat: add qdrant vector adapter

harness/tests/test_vector_port_contract.py

@@ -3,14 +3,15 @@ from unittest.mock import MagicMock
 
 import pytest
 
-from tht.adapters.vector.thoth_http import ThothHttpVectorStore
 from tht.adapters.vector.legacy_direct import LegacyDirectVectorStore
+from tht.adapters.vector.qdrant import QdrantVectorStore
+from tht.adapters.vector.thoth_http import ThothHttpVectorStore
 from tht.evidence.model import EvidenceDoc
 from tht.ports.vector import (
     VectorHit,
+    VectorReadUnavailable,
     VectorRecord,
     VectorStore,
-    VectorReadUnavailable,
     VectorWriteRecord,
     VectorWriteUnavailable,
 )
@@ -158,11 +159,13 @@ def test_http_store_is_runtime_vector_store():
 
 
 def test_vector_contract_is_exported_from_public_packages():
+    from tht.adapters.vector import QdrantVectorStore as PublicQdrantStore
     from tht.adapters.vector import ThothHttpVectorStore as PublicHttpStore
+    from tht.ports import VectorReadUnavailable as PublicVectorReadUnavailable
     from tht.ports import VectorStore as PublicVectorStore
     from tht.ports import VectorWriteRecord as PublicVectorWriteRecord
-    from tht.ports import VectorReadUnavailable as PublicVectorReadUnavailable
 
+    assert PublicQdrantStore is QdrantVectorStore
     assert PublicHttpStore is ThothHttpVectorStore
     assert PublicVectorStore is VectorStore
     assert PublicVectorWriteRecord is VectorWriteRecord
@@ -248,3 +251,24 @@ def test_legacy_direct_search_requires_a_strict_positive_integer_limit(limit):
 
     with pytest.raises(ValueError, match="positive integer"):
         store.search(["memory"], [0.1], limit=limit)
+
+
+def test_qdrant_store_is_runtime_vector_store():
+    store = QdrantVectorStore(
+        base_url="http://qdrant:6333",
+        collection="workspace-semantic",
+        workspace_id="demo",
+        expected_dimension=1024,
+        request=lambda *args, **kwargs: MagicMock(
+            ok=True,
+            status_code=200,
+            text='{"result":{"config":{"params":{"vectors":{"size":1024,"distance":"Cosine"}}},"payload_schema":{}}}',
+            json=lambda: {
+                "result": {
+                    "config": {"params": {"vectors": {"size": 1024, "distance": "Cosine"}}},
+                    "payload_schema": {},
+                }
+            },
+        ),
+    )
+    assert isinstance(store, VectorStore)