April 2026
Intermediate
348 pages
8h 22m
Korean
Content preview from 그림으로 배우는 생성형 AI
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218
그림으로 배우는 생성형 AI
좋은 예입니다
.
더 나아가서 포스트그레스
(
https://
oreil.ly/GbpOi
),
덕
DB
DuckDB
(
https://oreil.ly/
cjctW
),
빅쿼리
BigQuery
(
https://oreil.ly/nYrZz
),
스
노우플레이크
Snowflake
(
https://oreil.ly/X2d2W
)
등 여
러 데이터베이스와 데이터 웨어하우스가 임베딩 저장
에 사용할 수 있는 벡터 데이터 유형을 지원합니다
.
랭체인은 이들 중 다수에 대해 일관된
API
를 제공하
므로
,
하나로 시작했다가 다른 것으로 전환하는 것이
아주 쉽습니다
.
다음 코드는 제미나이 임베딩 전용 모델로 문단 청크
들에 대한 임베딩을 계산해서 크로마
Chroma
9
벡터 저
장소에 저장합니다
.
embed_model =
GoogleGenerativeAIEmbeddings(
model="models/embedding-001"
)
docs = [
Document(
page_content=p,
metadata={
"source": "geography",
"paragraph": pno + 1
}
)
for pno, p in enumerate(paragraphs)
]
vectorstore = Chroma.from_documents(
documents=docs,
embedding=embed_model, ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.