OpenAI API 访问

CALL apoc.ml.openai.embedding(['Some Text'], $apiKey, {}) yield index, text, embedding;

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.openai.chat([
{role:"system", content:"Only answer with a single word"},
{role:"user", content:"What planet do humans live on?"}
],  $apiKey) yield value

{created=1684248203, id="chatcmpl-7GqBXZr94avd4fluYDi2fWEz7DIHL",
object="chat.completion", model="gpt-3.5-turbo-0301",
usage={completion_tokens=2, prompt_tokens=26, total_tokens=28},
choices=[{finish_reason="stop", index=0, message={role="assistant", content="Earth."}}]}

CALL apoc.ml.openai.chat([
{role:"user", content:"Which athletes won the gold medal in mixed doubles's curling at the 2022 Winter Olympics?"}
],  $apiKey, { model: "gpt-3.5-turbo" }) yield value

{
  "created" : 1721902606,
  "usage" : {
    "total_tokens" : 59,
    "completion_tokens" : 32,
    "prompt_tokens" : 27
  },
  "model" : "gpt-3.5-turbo-2024-05-13",
  "id" : "chatcmpl-9opocM1gj9AMXIh7oSWWfoumJOTRC",
  "choices" : [ {
    "index" : 0,
    "finish_reason" : "stop",
    "message" : {
      "content" : "The gold medal in mixed doubles curling at the 2022 Winter Olympics was won by the Italian team, consisting of Stefania Constantini and Amos Mosaner.",
      "role" : "assistant"
    }
  } ],
  "system_fingerprint" : "fp_400f27fa1f",
  "object" : "chat.completion"
}

CALL apoc.ml.openai.embedding(['Some Text'], $anyScaleApiKey,
{endpoint: 'https://api.endpoints.anyscale.com/v1', model: 'thenlper/gte-large'})

CALL apoc.ml.openai.embedding(['Some Text'], "ignored",
{endpoint: 'http://localhost:8080/v1', model: 'text-embedding-ada-002'})

WITH 'Node properties are the following:
Movie {title: STRING, votes: INTEGER, tagline: STRING, released: INTEGER}, Person {born: INTEGER, name: STRING}
Relationship properties are the following:
ACTED_IN {roles: LIST}, REVIEWED {summary: STRING, rating: INTEGER}
The relationships are the following:
(:Person)-[:ACTED_IN]->(:Movie), (:Person)-[:DIRECTED]->(:Movie), (:Person)-[:PRODUCED]->(:Movie), (:Person)-[:WROTE]->(:Movie), (:Person)-[:FOLLOWS]->(:Person), (:Person)-[:REVIEWED]->(:Movie)'
as schema,
'Which actors played in the most movies?' as question
CALL apoc.ml.openai.chat([
            {role:"system", content:"Given an input question, convert it to a Cypher query. No pre-amble."},
            {role:"user", content:"Based on the Neo4j graph schema below, write a Cypher query that would answer the user's question:
\n "+ schema +" \n\n Question: "+ question +" \n Cypher query:"}
            ], '<apiKey>', { endpoint: 'http://localhost:8080/chat/completions', model: 'text2cypher-demo-4bit-gguf-unsloth.Q4_K_M.gguf'})
YIELD value RETURN value

CALL apoc.ml.openai.embedding(['Some Text'], "ignored",
{endpoint: 'http://localhost:3000/v1', model: 'thenlper/gte-large'})

CALL apoc.ml.openai.chat([{"role": "user", "content": "Explain the importance of low latency LLMs"}],
    '<apiKey>',
    {endpoint: 'https://api.groq.com/openai/v1', model: 'llama3-70b-8192'})