the service
we want to make
ai recommend system
https://www.mk.co.kr/news/it/11003928?utm_source=chatgpt.com
‘취향 감별사’ AI가웹툰·웹소설 골라준다...카카오엔터, ‘헬릭스 큐레이션’ 출시 - 매일경제
카카오엔터테인먼트의 웹툰·웹소설 플랫폼 ‘카카오페이지’에서 인공지능(AI)이 이용자 선호도에 맞춰 콘텐츠를 추천하는 개인화 서비스가 이뤄진다. 그간 접했던 작품이나 구매 이력 등을
www.mk.co.kr
work flow
1. install - make langchain
2. render - get api
3. insert in front-end
4. deploy
1. install flowise
just follow the description on terminal
if you downloaded once, you can run only
npx flowise start on you folder terminal
https://github.com/iluv4/Flowise?tab=readme-ov-file
GitHub - iluv4/Flowise: Drag & drop UI to build your customized LLM flow
Drag & drop UI to build your customized LLM flow. Contribute to iluv4/Flowise development by creating an account on GitHub.
github.com
2. make langchain
and go to your local host
http:8000
3. render
this make using ai
into other service
not only local
but if you are free version,
you have to run repeatly.
so I recommend pro version
https://dashboard.render.com/web/srv-ct7b4id2ng1s73ccgi20/deploys/dep-ct80djd2ng1s73evaf30
Cloud Application Hosting for Developers | Render
Render is a unified cloud to build and run all your apps and websites with free SSL, global CDN, private networks and automatic deploys from Git.
dashboard.render.com
4. and get api and
put on this your front end or other servcie
this is my video
that I watched
https://www.youtube.com/watch?v=Ev_WvXvyNNo