langchain/templates/neo4j-cypher-ft/ingest.py
Bagatur fa5d49f2c1
docs, experimental[patch], langchain[patch], community[patch]: update storage imports (#15429)
ran 
```bash
g grep -l "langchain.vectorstores" | xargs -L 1 sed -i '' "s/langchain\.vectorstores/langchain_community.vectorstores/g"
g grep -l "langchain.document_loaders" | xargs -L 1 sed -i '' "s/langchain\.document_loaders/langchain_community.document_loaders/g"
g grep -l "langchain.chat_loaders" | xargs -L 1 sed -i '' "s/langchain\.chat_loaders/langchain_community.chat_loaders/g"
g grep -l "langchain.document_transformers" | xargs -L 1 sed -i '' "s/langchain\.document_transformers/langchain_community.document_transformers/g"
g grep -l "langchain\.graphs" | xargs -L 1 sed -i '' "s/langchain\.graphs/langchain_community.graphs/g"
g grep -l "langchain\.memory\.chat_message_histories" | xargs -L 1 sed -i '' "s/langchain\.memory\.chat_message_histories/langchain_community.chat_message_histories/g"
gco master libs/langchain/tests/unit_tests/*/test_imports.py
gco master libs/langchain/tests/unit_tests/**/test_public_api.py
```
2024-01-02 16:47:11 -05:00

22 lines
486 B
Python

from langchain_community.graphs import Neo4jGraph
graph = Neo4jGraph()
# Import sample data
graph.query(
"""
MERGE (m:Movie {name:"Top Gun"})
WITH m
UNWIND ["Tom Cruise", "Val Kilmer", "Anthony Edwards", "Meg Ryan"] AS actor
MERGE (a:Person {name:actor})
MERGE (a)-[:ACTED_IN]->(m)
"""
)
# Create full text index for entity matching
# on Person and Movie nodes
graph.query(
"CREATE FULLTEXT INDEX entity IF NOT EXISTS"
" FOR (m:Movie|Person) ON EACH [m.title, m.name]"
)