Deploy LangChain apps in 5 minutes with FastAPI and Vercel

In this Python tutorial you will learn how to easily deploy LangChain apps with Langcorn, FastAPI, and Vercel.

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00:00 - Intro
00:26 - Langcorn overview
02:25 - Langcorn setup
05:18 - Vercel deployment

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#MachineLearning #DeepLearning

[yazanrisheh]

Can we have a more detailed video of this please? This is amazing

[BodrumDrone]

thanks for how can i deploy langchain models on vercel

[andierni]

Amazing! Thanks a lot! Does anybody know how I can pass the langchain format instructions into FastAPI? something like: "format_instructions": "parser.get_format_instructions()", or how can we enter multi-line strings in FastAPI Request Body?

[TheNefelin]

does Netlify and Railway need the same caind of json file?

[raaghulviswanath]

Can the langchain model have local vector databases, does langcorn support it?

[mertsengil]

i couldn't see command codes because of your camera, can you type the codes that you wrote on command block?

[akhilsachdev]

Is it possible to do this without langcorn if you've already created the FastAPI type setup.

[santiagobattezzati]

How can I turn this into a beautiful vercel frontend ? could you post a video explaining this ?

[alaminegueye]

Can you show us how to do the same deployment with LangServe ?

[nagibgonzalez]

Hey would it be possible to do another video on this topic but for instance build out the user interface (kind of like the video where you compared FastAPI, Django, and. Flask). Nonetheless, thank you for the video. I really enjoy your style of teaching!

[yandelyano]

We could use a slower paced video with lowel level details. I'm sort of a beginner and I'm having a hard time following.

[Xzxzkanal]

Way too difficult. I want something as easy as using an OpenAI model.

[ambrosionguema]

It can't follow this video, the code does not look good