December 2024
Beginner to intermediate
320 pages
7h 25m
Korean
Content preview from GPT API를 활용한 인공지능 앱 개발(2판)
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251
5
장
프레임워크로 LLM 기능 높이기
5.2.1
10
줄 코드로
RAG
구현하기
다음의
10
줄 예시를 통해 라마인덱스로
RAG
를 쉽게 만드는 걸 확인할 수 있습니다. 먼저,
pip
install
-
r
requirements
.
txt
를 통해 라이브러리를 설치합니다. 코드는 다음과 같
습니다.
NOTE
깃허브 저장소의
Ch5
_
Frameworks
/
5
.
2
.
1
_
LlamaIndex
/
run
.
py
를 참고하세요.
예시
5-9
라마인덱스로 쉽게 구현하는
RAG
from dotenv import load_dotenv
from llama_index.llms.openai import OpenAI
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader
load_dotenv()
# 데이터 폴더의 문서를 로드 및 색인
llm = OpenAI(model_name="gpt-4o-mini")
documents = SimpleDirectoryReader("files").load_data()
index = VectorStoreIndex.from_documents(documents, llm=llm)
# 쿼리 작성
query_engine = index.as_query_engine()
response = query_engine.query("링크의 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.