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Support for hybrid search in Azure AI vector store (#2408)

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Co-authored-by: Deshraj Yadav <deshrajdry@gmail.com>
This commit is contained in:
Dev Khant
2025-03-20 22:57:00 +05:30
committed by GitHub
parent 8b9a8e5825
commit 8e6a08aa83
24 changed files with 275 additions and 294 deletions
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6
tests/vector_stores/test_opensearch.py
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@@ -126,15 +126,15 @@ class TestOpenSearchDB(unittest.TestCase):
def test_search(self):
mock_response = {"hits": {"hits": [{"_id": "id1", "_score": 0.8, "_source": {"vector": [0.1] * 1536, "metadata": {"key1": "value1"}}}]}}
self.client_mock.search.return_value = mock_response
query_vector = [0.1] * 1536
results = self.os_db.search(query=query_vector, limit=5)
vectors = [[0.1] * 1536]
results = self.os_db.search(query="", vectors=vectors, limit=5)
self.client_mock.search.assert_called_once()
search_args = self.client_mock.search.call_args[1]
self.assertEqual(search_args["index"], "test_collection")
body = search_args["body"]
self.assertIn("knn", body["query"])
self.assertIn("vector", body["query"]["knn"])
self.assertEqual(body["query"]["knn"]["vector"]["vector"], query_vector)
self.assertEqual(body["query"]["knn"]["vector"]["vector"], vectors)
self.assertEqual(body["query"]["knn"]["vector"]["k"], 5)
self.assertEqual(len(results), 1)
self.assertEqual(results[0].id, "id1")