사용자의 쿼리를 전처리하고, 문서 베이스를 벡터화하기 전에 전처리하는 방법 등을 통해 개선
할 수 있습니다.
TIP
라마인덱스, 랭체인 등의 프레임워크로 쉽게 고급
RAG
디자인 구현을 할 수 있습니다.
5
장에서 다룹니다.
사용자 쿼리 전처리
키워드 추출은 앞서 프로젝트 예시에서 했던 작업입니다. 프로젝트에 따라 오타 혹은 부적절한
표현이 결과에 영향을 주지 않도록
GPT
모델을 사용해 쿼리를 재구성할 수도 있습니다. 재구
222
GPT API를 활용한 인공지능 앱 개발(2판)
성은 대화 내역을 고려할 수도 있습니다. 예를 들어 사용자가 이전에 대화한 개념을 언급할 때
처럼 말입니다. ...
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