生成式 AI 助手过程

CALL apoc.ml.query("What movies did Tom Hanks play in?") yield value, query
RETURN *

+------------------------------------------------------------------------------------------------------------------------------+
| value                                 | query                                                                                |
+------------------------------------------------------------------------------------------------------------------------------+
| {m.title -> "You've Got Mail"}        | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "Apollo 13"}              | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "Joe Versus the Volcano"} | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "That Thing You Do"}      | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "Cloud Atlas"}            | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "The Da Vinci Code"}      | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "Sleepless in Seattle"}   | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "A League of Their Own"}  | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "The Green Mile"}         | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "Charlie Wilson's War"}   | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "Cast Away"}              | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
| {m.title -> "The Polar Express"}      | "cypher
MATCH (m:Movie)<-[:ACTED_IN]-(p:Person {name: 'Tom Hanks'})
RETURN m.title
" |
+------------------------------------------------------------------------------------------------------------------------------+
12 rows

CALL apoc.ml.schema({apiKey: $apiKey}) YIELD value
WITH value
CALL apoc.ml.query("Which 5 employees had sold the product 'Chocolade' and has the highest selling count of another product?
  Please returns the employee identificator, the other product name and the count orders of another product",
{
    retries: 8,
    retryWithError: true,
    apiKey: $apiKey,
    additionalPrompts: [
        {role: "system", content: "The human description of the schema is the following:\n" + value}
    ]
})
YIELD query, value RETURN query, value

CALL apoc.ml.schema() yield value
RETURN *

+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| value                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| "The graph database schema represents a system where users can follow other users and review movies. Users (:Person) can either follow other users (:Person) or review movies (:Movie). The relationships allow users to express their preferences and opinions about movies. This schema can be compared to social media platforms where users can follow each other and leave reviews or ratings for movies they have watched. It can also be related to movie recommendation systems where user preferences and reviews play a crucial role in generating personalized recommendations." |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row

CALL apoc.ml.cypher("Who are the actors which also directed a movie?", {count: 4}) yield cypher
RETURN *

+----------------------------------------------------------------------------------------------------------------+
| query                                                                                                          |
+----------------------------------------------------------------------------------------------------------------+
| "
MATCH (a:Person)-[:ACTED_IN]->(m:Movie)<-[:DIRECTED]-(d:Person)
RETURN a.name as actor, d.name as director
" |
| "cypher
MATCH (a:Person)-[:ACTED_IN]->(m:Movie)<-[:DIRECTED]-(a)
RETURN a.name
"                               |
| "
MATCH (a:Person)-[:ACTED_IN]->(m:Movie)<-[:DIRECTED]-(d:Person)
RETURN a.name
"                              |
| "cypher
MATCH (a:Person)-[:ACTED_IN]->(:Movie)<-[:DIRECTED]-(a)
RETURN DISTINCT a.name
"                       |
+----------------------------------------------------------------------------------------------------------------+
4 rows

CALL apoc.ml.schema({apiKey: $apiKey}) YIELD value
WITH value
CALL apoc.ml.cypher("Which 5 employees had sold the product 'Chocolade' and has the highest selling count of another product?
  Please returns the employee identificator, the other product name and the count orders of another product",
{
  count: 1,
  apiKey: $apiKey,
  additionalPrompts: [
    {role: "system", content: "The human description of the schema is the following:\n" + value}
  ]
})
YIELD value RETURN value

CALL apoc.ml.cypher("MATCH (p:Person {name: "Tom Hanks"})-[:ACTED_IN]->(m:Movie) RETURN m", {}) yield value
RETURN *

CALL apoc.ml.fromQueries(['MATCH (n:Movie) RETURN n', 'MATCH (n:Person) RETURN n'],
    {apiKey: <apiKey>})
YIELD value
RETURN *

+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| value                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| "The database represents movies and people, like in a movie database or social network.
    There are no defined relationships between nodes, allowing flexibility for future connections.
    The Movie node includes properties like title, tagline, and release year." |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row

CALL apoc.ml.fromQueries(['MATCH (n:Movie) RETURN n', 'MATCH p=(n:Movie)--() RETURN p'],
    {apiKey: <apiKey>})
YIELD value
RETURN *

+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| value                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| "models relationships in the movie industry, connecting :Person nodes to :Movie nodes.
    It represents actors, directors, writers, producers, and reviewers connected to movies they are involved with.
    Similar to a social network graph but specialized for the entertainment industry.
    Each relationship type corresponds to common roles in movie production and reviewing.
    Allows for querying and analyzing connections and collaborations within the movie business." |
+---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row