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ChatGPT 插件

OpenAI plugins connect ChatGPT to third-party applications. These plugins enable ChatGPT to interact with APIs defined by developers, enhancing ChatGPT's capabilities and allowing it to perform a wide range of actions.

Plugins allow ChatGPT to do things like:

  • Retrieve real-time information; e.g., sports scores, stock prices, the latest news, etc.
  • Retrieve knowledge-base information; e.g., company docs, personal notes, etc.
  • Perform actions on behalf of the user; e.g., booking a flight, ordering food, etc.

这个笔记本展示了如何在 LangChain 中使用 ChatGPT 检索插件。

# STEP 1: Load

# Load documents using LangChain's DocumentLoaders
# This is from https://langchain.readthedocs.io/en/latest/modules/document_loaders/examples/csv.html

from langchain_community.document_loaders import CSVLoader
from langchain_core.documents import Document

loader = CSVLoader(
file_path="../../document_loaders/examples/example_data/mlb_teams_2012.csv"
)
data = loader.load()


# STEP 2: Convert

# Convert Document to format expected by https://github.com/openai/chatgpt-retrieval-plugin
import json
from typing import List


def write_json(path: str, documents: List[Document]) -> None:
results = [{"text": doc.page_content} for doc in documents]
with open(path, "w") as f:
json.dump(results, f, indent=2)


write_json("foo.json", data)

# STEP 3: Use

# Ingest this as you would any other json file in https://github.com/openai/chatgpt-retrieval-plugin/tree/main/scripts/process_json
API 参考:CSVLoader | 文档

使用ChatGPT检索插件

好的,我们已经创建了 ChatGPT 检索插件,但如何实际使用它呢?

下面的代码展示了如何实现这一点。

我们要使用 ChatGPTPluginRetriever,因此我们需要获取OpenAI API密钥。

import getpass
import os

if "OPENAI_API_KEY" not in os.environ:
os.environ["OPENAI_API_KEY"] = getpass.getpass("OpenAI API Key:")
OpenAI API Key: ········
from langchain_community.retrievers import (
ChatGPTPluginRetriever,
)
retriever = ChatGPTPluginRetriever(url="http://0.0.0.0:8000", bearer_token="foo")
retriever.invoke("alice's phone number")
[Document(page_content="This is Alice's phone number: 123-456-7890", lookup_str='', metadata={'id': '456_0', 'metadata': {'source': 'email', 'source_id': '567', 'url': None, 'created_at': '1609592400.0', 'author': 'Alice', 'document_id': '456'}, 'embedding': None, 'score': 0.925571561}, lookup_index=0),
Document(page_content='This is a document about something', lookup_str='', metadata={'id': '123_0', 'metadata': {'source': 'file', 'source_id': 'https://example.com/doc1', 'url': 'https://example.com/doc1', 'created_at': '1609502400.0', 'author': 'Alice', 'document_id': '123'}, 'embedding': None, 'score': 0.6987589}, lookup_index=0),
Document(page_content='Team: Angels "Payroll (millions)": 154.49 "Wins": 89', lookup_str='', metadata={'id': '59c2c0c1-ae3f-4272-a1da-f44a723ea631_0', 'metadata': {'source': None, 'source_id': None, 'url': None, 'created_at': None, 'author': None, 'document_id': '59c2c0c1-ae3f-4272-a1da-f44a723ea631'}, 'embedding': None, 'score': 0.697888613}, lookup_index=0)]