LangChain और Neo4j के साथ Graph RAG
Adam Cowley
Manager, Developer Education at Neo4j
नीचे दिए गए टेक्स्ट में पात्रों की सूची दें:
{text}
इस टेक्स्ट में ये पात्र हैं:
* Sampson - Capulet परिवार का नौकर।
* Gregory - Capulet परिवार का एक और नौकर।
* Abram - Montague परिवार का नौकर।
* Balthasar - Montague परिवार का नौकर।
नीचे दिए गए टेक्स्ट में पात्रों की सूची दें:
{text}
इस टेक्स्ट में सूचीबद्ध पात्र:
* Sampson - Servant Capulet
* Gregory - Servant of Capulet
* Abram - Servant of the Montague
* Benvolio - Servant of the Montague
examples = graph.query("""
MATCH (c:Character)-[:BELONGS_TO]->(f:Family)
RETURN c.id AS id, c.name AS name, f.name AS belongsToFamily
""")
for character in example:
print(character)
{"id": "romeo-montague", "name": "Romeo", "family": "Montague"},{"id": "juliet-capulet", "name": "Juliet", "family": "Capulet"},{"id": "sampson", "name": "Sampson", "family": "Capulet"},...
SystemMessagePromptTemplate.from_template(""" निम्न एंटिटीज़ से संबंधित जानकारी निकालें।निम्न सूची में शामिल नहीं पात्रों को नज़रअंदाज़ करें:{examples}""",partial_variables={"examples": [ dict(e) for e in examples ]})





MATCH path = (c:Character {id: "romeo-capulet"})-[r]-(inCommon:Character),(inCommon)-[r2]-(other:Character)RETURN c.id AS id, c.name AS name, other.name AS otherName, other.id AS otherId,c.name = other.name AS shareName,EXISTS { (c)-[:BELONGS_TO]->(:Family)<-[:BELONGS_TO]-(other) } AS belongToFamily,count(*) as nodesInCommon,collect(path) AS pathsORDER BY nodesInCommon DESC LIMIT 10

MATCH (:Character {id: 'romeo-montague'})-[:SIMILAR_TO*0..1]-(character),
(character)-[:HAS_LINE]->(line),
(line)-[:SPOKEN_TO]->(target)
RETURN character, line
LangChain और Neo4j के साथ Graph RAG