APOC GenAI 过程

// generate embedding
CALL apoc.ml.openai.embedding(['Knowledge Graphs work well with LLMs'], $apiKey, {}) yield index, text, embedding;

// generate text
CALL apoc.ml.openai.completion('What color is the sky? Answer in one word: ', $apiKey, {config}) yield value;

/*
{ created=1684248202, model="text-davinci-003", id="cmpl-7GqBWwX49yMJljdmnLkWxYettZoOy",
  usage={completion_tokens=2, prompt_tokens=12, total_tokens=14},
  choices=[{finish_reason="stop", index=0, text="Blue", logprobs=null}], object="text_completion"}
*/

CALL apoc.ml.query("What movies did Tom Hanks play in?", {apiKey: $apiKey}) yield value, query
RETURN *;


CALL apoc.ml.schema({apiKey: $apiKey});
/*
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.
*/