DeepSearcher实战

git clone https://github.com/zilliztech/deep-searcher.git

cd /root/deep-searcher

(llm) [root@localhost deep-searcher]# python deepsearch.py

import os

from dotenvimport load_dotenv
load_dotenv()
from deepsearcher.configurationimport Configuration, init_config
from deepsearcher.online_queryimport query
config = Configuration()
# Customize your config here,
# more configuration see the Configuration Details section below.
config.set_provider_config("llm","SiliconFlow", {"model":"Qwen/Qwen3-8B"})
# config.set_provider_config("llm", "custom", {
#    "api_base": "http://localhost:8000/v1/chat/completions",  # vllm 默认开放的 OpenAI 兼容接口路径
#    "api_key": "EMPTY",  # 本地部署一般不需要API key
#    "model": "/data01/downloadModel/Qwen",  # 你本地部署的模型名称，根据你 `vllm` serve 的 --served-model-name 设置
# })
config.set_provider_config("embedding","SiliconflowEmbedding", {"model":"BAAI/bge-m3"})
config.set_provider_config("vector_db","Milvus", {"uri":"./milvus.db","token":""})
init_config(config = config)
# Load your local data
from deepsearcher.offline_loadingimport load_from_local_files
load_from_local_files(paths_or_directory="/root/deep-searcher/vector_db_store")
#(Optional) Load from web crawling (`FIRECRAWL_API_KEY` env variable required)
# from deepsearcher.offline_loading import load_from_website
# load_from_website(urls=website_url)
# Query
result = query("总结一下科比的社会评价")# Your question here