文章目录
-
- [关于 Metaphor](#关于 Metaphor)
- 使用示例
关于 Metaphor
Metaphor是基于大语言模型的搜索引擎，允许用户使用完整的句子和自然语言搜索，还可以模拟人们在互联网上分享和谈论链接的方式进行查询内容。
Metaphor同时还能与LLMs结合使用，允许LLMs连接互联网，查询自己知识库外部的内容。
- 官网：https://exa.ai
- github : https://github.com/NorthBit/Metaphor
相关教程
- Metaphor：改变搜索方式，搜索引擎革命，基于大语言模型的AI搜索引擎(1min)
https://www.bilibili.com/video/BV1om4y1M7XM/
https://www.1aibox.com/sites/2222.html - LLM之RAG实战（二）：使用LlamaIndex + Metaphor实现知识工作自动化
https://mp.weixin.qq.com/s/RsaqhgB9VmMtXDc5UW-1vQ
使用示例
安装环境
shell
!pip install exa_py
!pip install langchain
!pip install llama_hub
!pip install llama_index - api_key 为从官网 https://exa.ai 注册后，个人的 key
- 过去使用 MetaphorToolSpec，后面改为使用 ExaToolSpec
python
from llama_hub.tools.exa.base import ExaToolSpec
metaphor_tool = ExaToolSpec( api_key="xxx" )
metaphor_tool_list = metaphor_tool.to_tool_list()
for tool in metaphor_tool_list:
print(tool.metadata.name)
'''
search
retrieve_documents
search_and_retrieve_documents
search_and_retrieve_highlights
find_similar
current_date
'''
metaphor_tool.search('machine learning transformers', num_results=3)
'''
[Exa Tool] Autoprompt: Here's an insightful article on machine learning transformers:
[{'title': 'On the potential of Transformers in Reinforcement Learning',
'url': 'https://lorenzopieri.com/rl_transformers/',
'id': 'snjxQqPfYVWKEmVXunkqhg'},
{'title': 'How Transformers work in deep learning and NLP: an intuitive introduction | AI Summer',
'url': 'https://theaisummer.com/transformer/',
'id': 'kzGcf36vWzWeyL28Az1fNQ'},
{'title': 'Transformers in Computer Vision: Farewell Convolutions!',
'url': 'https://towardsdatascience.com/transformers-in-computer-vision-farewell-convolutions-f083da6ef8ab?gi=a1d0a9a2896c',
'id': 'xF0V2oTHAfVmfS5UvJIFDA'}]
'''
python
# 使用 Mataphor 设置 OpenAI Agent
from llama_index.agent import OpenAIAgent
agent = OpenAIAgent.from_tools(
metaphor_tool_list,
verbose=True,
)
# 直接查询
agent.chat('what are the best restaurants in torando?')
python
from llama_index.tools.tool_spec.load_and_search.base import LoadAndSearchToolSpec
# The search_and_retrieve_documents tool is the third in the tool list, as seen above
wrapped_retrieve = LoadAndSearchToolSpec.from_defaults(
metaphor_tool_list[2],
)
# Just pass the wrapped tools and the get_date utility
agent = OpenAIAgent.from_tools(
[*wrapped_retrieve.to_tool_list(), metaphor_tool_list[4]],
verbose=True,
)
agent.chat('Can you summarize everything published in the last month regarding news on superconductors')伊织 2024-01-27（六）