Scope index lookups to a table to remove singleton ix issue

src/tests/test_issue_90.py

@@ -0,0 +1,32 @@
+import vecs
+
+
+def test_issue_90_multiple_index_support(client: vecs.Client) -> None:
+    # Create a collection
+    col1 = client.get_or_create_collection(name="col1", dimension=3)
+
+    # Upsert some records
+    col1.upsert(
+        records=[
+            (
+                "vec0",  # the vector's identifier
+                [0.1, 0.2, 0.3],  # the vector. list or np.array
+                {"year": 1973},  # associated  metadata
+            ),
+            ("vec1", [0.7, 0.8, 0.9], {"year": 2012}),
+        ]
+    )
+
+    # Creat an index on the first collection
+    col1.create_index()
+
+    # Create a second collection
+    col2 = client.get_or_create_collection(name="col2", dimension=3)
+
+    # Create an index on the second collection
+    col2.create_index()
+
+    assert col1.index is not None
+    assert col2.index is not None
+
+    assert col1.index != col2.index

src/vecs/__init__.py

@@ -9,7 +9,7 @@
 )
 
 __project__ = "vecs"
-__version__ = "0.4.3"
+__version__ = "0.4.4"
 
 
 __all__ = [

src/vecs/collection.py

@@ -4,6 +4,7 @@
 Importing from the `vecs.collection` directly is not supported.
 All public classes, enums, and functions are re-exported by the top level `vecs` module.
 """
+
 from __future__ import annotations
 
 import math
@@ -638,17 +639,22 @@ def index(self) -> Optional[str]:
             query = text(
                 """
             select
-                relname as table_name
+                pi.relname as index_name
             from
-                pg_class pc
+                pg_class pi                -- index info
+                join pg_index i            -- extend index info
+                  on pi.oid = i.indexrelid
+                join pg_class pt           -- owning table info
+                  on pt.oid = i.indrelid
             where
-                pc.relnamespace = 'vecs'::regnamespace
-                and relname ilike 'ix_vector%'
-                and pc.relkind = 'i'
+                pi.relnamespace = 'vecs'::regnamespace
+                and pi.relname ilike 'ix_vector%'
+                and pi.relkind = 'i'
+                and pt.relname = :table_name
             """
             )
             with self.client.Session() as sess:
-                ix_name = sess.execute(query).scalar()
+                ix_name = sess.execute(query, {"table_name": self.name}).scalar()
             self._index = ix_name
         return self._index