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Demo: Build GenAI Applications Visually with LangFlow 

Langflow
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Tejas Kumar provides quick overview of how Langflow make it super simple to build RAG applications.
⭐️Check out Langflow on GitHub: dtsx.io/3JN5OJH
ADDITIONAL RESOURCES:
💻Get started coding with our Langflow Quickstart Guide: dtsx.io/3JS4sNK
ABOUT LANGFLOW:
➡️ Langflow is an open source, visual framework for building GenAI and RAG apps with LangChain and prebuilt components for any kind of app, API, or data source.
➡️You can easily drag and drop components, make connections, see how data will flow, and swap pieces in and out to iterate incredibly fast with fine-grained control over AI applications within seconds (instead of weeks and months).
➡️Langflow then creates the workflow code and LangChain objects you need to get into production quickly.

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7 май 2024

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Комментарии : 6   
@Aditya_khedekar
@Aditya_khedekar 21 день назад
Why can't i Find CHAT INPUT in the application
@latin-support
@latin-support 29 дней назад
Awesome I had a langflow deploy on Railway and for sure we are going to test it cuz we are working with RAGs, we are defining the best stack tools to work with
@RafaelAntonioRiveraRodriguez
@RafaelAntonioRiveraRodriguez 29 дней назад
Genial, gracias por la explicación, ahora a probarlo 🤠
@DS_with_Shikhar
@DS_with_Shikhar 29 дней назад
This is so good, I will implement it.
@bgriffin5447
@bgriffin5447 11 дней назад
I’m confused. If you make temp 1 would that be ok creative? Would you want a number closer to zero for RAG accuracy?
@artislove491
@artislove491 27 дней назад
Great stuff. Is there any chance you can upload how to use a SQL db to create a RAG chat bot?
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