Demo: Build GenAI Applications Visually with LangFlow

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.

[@Aditya_khedekar]

Why can't i Find CHAT INPUT in the application

[@latin-support]

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]

Genial, gracias por la explicación, ahora a probarlo 🤠

[@DS_with_Shikhar]

This is so good, I will implement it.

[@artislove491]

Great stuff. Is there any chance you can upload how to use a SQL db to create a RAG chat bot?

[@bgriffin5447]

I’m confused. If you make temp 1 would that be ok creative? Would you want a number closer to zero for RAG accuracy?