environmental preparation
基础要求：Python 3.10环境，有效OpenAI API密钥
- Create a conda environment:
conda create -n hipporag python=3.10 - Install the core library:
pip install hipporag - 设置环境变量包括
OPENAI_API_KEY
快速启动流程
- 准备文档列表（支持txt/md/pdf等多种格式）
- 初始化检索器：指定
gpt-4o-mini等模型名称 - invocations
index()方法建立知识索引 - utilization
rag_qa()进行多轮问答
典型代码示例
<from hipporag import HippoRAG
hipporag = HippoRAG(
save_dir='outputs',
llm_model_name='gpt-4o-mini',
embedding_model_name='nvidia/NV-Embed-v2'
)
hipporag.index(docs=["示例文档内容"])
rag_results = hipporag.rag_qa(["示例问题"])>
This answer comes from the articleHippoRAG: A multi-hop knowledge retrieval framework based on long term memoryThe
May not be reproduced without permission:AI productivity tools " 如何快速部署HippoRAG并使用OpenAI模型？
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