Graph RAG con LangChain y Neo4j
Adam Cowley
Manager, Developer Education at Neo4j
Lista los personajes del siguiente texto:
{text}
Los personajes de este texto son:
* Sampson - Criado de la casa Capuleto.
* Gregory - Otro criado de la casa Capuleto.
* Abram - Criado de la casa Montesco.
* Balthasar - Criado de la casa Montesco.
Lista los personajes del siguiente texto:
{text}
Los personajes listados en este texto son:
* Sampson - Criado Capuleto
* Gregory - Criado de los Capuleto
* Abram - Criado de los Montesco
* Benvolio - Criado de los Montesco
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(""" Extrae la información que corresponde a las siguientes entidades.Ignora cualquier personaje que no esté en la lista siguiente:{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
Graph RAG con LangChain y Neo4j