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rag-retrieval's Introduction

rag-retrieval

RAG向量召回示例

依赖

先安装适合自己环境的torch,再安装项目依赖:

pip install langchain pypdf rapidocr-onnxruntime modelscope transformers faiss-cpu tiktoken -i https://mirrors.aliyun.com/pypi/simple/

如果有量化相关的报错,从源码安装vllm-gpts、auto-gtpq

用法

1,启动vllm的openai兼容server:

export VLLM_USE_MODELSCOPE=True
python -m vllm.entrypoints.openai.api_server --model 'qwen/Qwen-7B-Chat-Int4' --trust-remote-code -q gptq --dtype float16 --gpu-memory-utilization 0.6

2、运行indexer.py,解析pdf生成向量库

python indexer.py

3、运行rag.py,开始体验RAG增强检索

python rag.py

rag-retrieval's People

Contributors

owenliang avatar

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