Bug描述

收到来自DBMS服务器的通知：{severity: WARNING} {code: Neo.ClientNotification.Statement.FeatureDeprecationWarning} {category: DEPRECATION} {title: 此功能已被弃用，将在未来的版本中被移除。} {description: 该过程具有已弃用的字段。('config'被'apoc.meta.graphSample'使用已被弃用。)} {position: line: 1, column: 1, offset: 0} 对于查询：“CALL apoc.meta.graphSample() YIELD nodes, relationships RETURN nodes, [rel in relationships | {name:apoc.any.property(rel, 'type'), count: apoc.any.property(rel, 'count')}] AS relationships”

版本

最新版本

重现步骤

运行以下代码

import os
from dotenv import load_dotenv
 from llama_index.core import SimpleDirectoryReader, PropertyGraphIndex
 from typing import Literal
 from llama_index.core.indices.property_graph import SchemaLLMPathExtractor
 from llama_index.graph_stores.neo4j import Neo4jPropertyGraphStore
 from llama_index.legacy.embeddings import HuggingFaceEmbedding
 from llama_index.llms.openai import OpenAI
load_dotenv()
 OPENAI_API_KEY = os.environ.get('OPENAI_API_KEY')
 NEO4J_URI = os.environ.get('NEO4J_URI')
 NEO4J_USERNAME = os.environ.get("NEO4J_USERNAME")
 NEO4J_PASSWORD = os.environ.get("NEO4J_PASSWORD")
 documents = SimpleDirectoryReader("/Users/joyeed/langmodel/langmodel/data").load_data()

## best practice to use upper-case

entities = Literal["PERSON", "SKILL", "EMPLOYER","ADDRESS","PROFILE","PHONE"]
 relations = Literal["HAS", "PART_OF", "EMPLOYED","BELONGS_TO","WORKED_FOR","WORKED_FROM","WORKED_TILL"]

## define which entities can have which relations

validation_schema = {
 "PERSON": ["HAS", "PART_OF","WORKED_FOR","WORKED_FROM","WORKED_TILL"],
 "ADDRESS":["BELONGS_TO"],
 "PROFILE":["HAS"],
 "PHONE":["BELONGS_TO"],
 "SKILL": ["HAS","BELONGS_TO"],
 "EMPLOYER": ["EMPLOYED"],
 }
kg_extractor = SchemaLLMPathExtractor(
 llm=OpenAI(),
 possible_entities=entities,
 possible_relations=relations,
 kg_validation_schema=validation_schema,
 # if false, allows for values outside of the schema
 # useful for using the schema as a suggestion
 strict=True,
 )
 graph_store = Neo4jPropertyGraphStore(
 username=NEO4J_USERNAME,
 password=NEO4J_PASSWORD,
 url=NEO4J_URI,
 )
 vec_store = None
 index = PropertyGraphIndex.from_documents(
 documents,
 kg_extractors=[kg_extractor],
 embed_model=HuggingFaceEmbedding(model_name="BAAI/bge-small-en-v1.5"),
 property_graph_store=graph_store,
 vector_store=vec_store,
 show_progress=True,
 )`