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참고/neo4j-graphrag-python-main/tests/e2e/retrievers/test_vector_e2e.py

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+#  Copyright (c) "Neo4j"
+#  Neo4j Sweden AB [https://neo4j.com]
+#  #
+#  Licensed under the Apache License, Version 2.0 (the "License");
+#  you may not use this file except in compliance with the License.
+#  You may obtain a copy of the License at
+#  #
+#      https://www.apache.org/licenses/LICENSE-2.0
+#  #
+#  Unless required by applicable law or agreed to in writing, software
+#  distributed under the License is distributed on an "AS IS" BASIS,
+#  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+#  See the License for the specific language governing permissions and
+#  limitations under the License.
+
+import pytest
+from neo4j import Driver
+from neo4j_graphrag.embeddings.base import Embedder
+from neo4j_graphrag.retrievers import VectorCypherRetriever, VectorRetriever
+from neo4j_graphrag.types import RetrieverResult, RetrieverResultItem
+
+
+@pytest.mark.usefixtures("setup_neo4j_for_retrieval")
+def test_vector_retriever_search_text(
+    driver: Driver, random_embedder: Embedder
+) -> None:
+    retriever = VectorRetriever(driver, "vector-index-name", random_embedder)
+
+    top_k = 5
+    effective_search_ratio = 2
+    results = retriever.search(
+        query_text="Find me a book about Fremen",
+        top_k=top_k,
+        effective_search_ratio=effective_search_ratio,
+    )
+
+    assert isinstance(results, RetrieverResult)
+    assert len(results.items) == 5
+    for result in results.items:
+        assert f"'{retriever._embedding_node_property}': None" in result.content
+        assert isinstance(result, RetrieverResultItem)
+
+
+@pytest.mark.usefixtures("setup_neo4j_for_retrieval")
+def test_vector_cypher_retriever_search_text(
+    driver: Driver, random_embedder: Embedder
+) -> None:
+    retrieval_query = "MATCH (node)-[:AUTHORED_BY]->(author:Author) RETURN author.name"
+    retriever = VectorCypherRetriever(
+        driver, "vector-index-name", retrieval_query, random_embedder
+    )
+
+    top_k = 5
+    effective_search_ratio = 2
+    results = retriever.search(
+        query_text="Find me a book about Fremen",
+        top_k=top_k,
+        effective_search_ratio=effective_search_ratio,
+    )
+
+    assert isinstance(results, RetrieverResult)
+    assert len(results.items) == 5
+    for record in results.items:
+        assert isinstance(record, RetrieverResultItem)
+        assert "author.name" in record.content
+
+
+@pytest.mark.usefixtures("setup_neo4j_for_retrieval")
+def test_vector_retriever_search_vector(driver: Driver) -> None:
+    retriever = VectorRetriever(driver, "vector-index-name")
+
+    top_k = 5
+    effective_search_ratio = 2
+    results = retriever.search(
+        query_vector=[1.0 for _ in range(1536)],
+        top_k=top_k,
+        effective_search_ratio=effective_search_ratio,
+    )
+
+    assert isinstance(results, RetrieverResult)
+    assert len(results.items) == 5
+    for result in results.items:
+        assert f"'{retriever._embedding_node_property}': None" in result.content
+        assert isinstance(result, RetrieverResultItem)
+
+
+@pytest.mark.usefixtures("setup_neo4j_for_retrieval")
+def test_vector_cypher_retriever_search_vector(driver: Driver) -> None:
+    retrieval_query = "MATCH (node)-[:AUTHORED_BY]->(author:Author) RETURN author.name"
+    retriever = VectorCypherRetriever(driver, "vector-index-name", retrieval_query)
+
+    top_k = 5
+    effective_search_ratio = 2
+    results = retriever.search(
+        query_vector=[1.0 for _ in range(1536)],
+        top_k=top_k,
+        effective_search_ratio=effective_search_ratio,
+    )
+
+    assert isinstance(results, RetrieverResult)
+    assert len(results.items) == 5
+    for record in results.items:
+        assert isinstance(record, RetrieverResultItem)
+        assert "author.name" in record.content
+
+
+@pytest.mark.usefixtures("setup_neo4j_for_retrieval")
+def test_vector_retriever_return_properties(driver: Driver) -> None:
+    properties = ["name", "age"]
+    retriever = VectorRetriever(
+        driver,
+        "vector-index-name",
+        return_properties=properties,
+    )
+
+    top_k = 5
+    results = retriever.search(
+        query_vector=[1.0 for _ in range(1536)],
+        top_k=top_k,
+    )
+
+    assert isinstance(results, RetrieverResult)
+    assert len(results.items) == 5
+    for result in results.items:
+        assert isinstance(result, RetrieverResultItem)
+
+
+@pytest.mark.usefixtures("setup_neo4j_for_retrieval")
+def test_vector_retriever_filters(driver: Driver) -> None:
+    retriever = VectorRetriever(
+        driver,
+        "vector-index-name",
+    )
+
+    top_k = 2
+    results = retriever.search(
+        query_vector=[1.0 for _ in range(1536)],
+        filters={"int_property": {"$gt": 2}},
+        top_k=top_k,
+    )
+
+    assert isinstance(results, RetrieverResult)
+    assert len(results.items) == 2
+    for result in results.items:
+        assert isinstance(result, RetrieverResultItem)
+        # assert result.node["int_property"] > 2