mirror of
https://github.com/hwchase17/langchain
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ebf998acb6
Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Jacob Lee <jacoblee93@gmail.com>
22 lines
477 B
Python
22 lines
477 B
Python
from langchain.graphs import Neo4jGraph
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graph = Neo4jGraph()
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# Import sample data
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graph.query(
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"""
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MERGE (m:Movie {name:"Top Gun"})
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WITH m
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UNWIND ["Tom Cruise", "Val Kilmer", "Anthony Edwards", "Meg Ryan"] AS actor
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MERGE (a:Person {name:actor})
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MERGE (a)-[:ACTED_IN]->(m)
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"""
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)
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# Create full text index for entity matching
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# on Person and Movie nodes
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graph.query(
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"CREATE FULLTEXT INDEX entity IF NOT EXISTS"
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" FOR (m:Movie|Person) ON EACH [m.title, m.name]"
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)
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