Demo: Build GenAI Applications Visually with LangFlow
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- čas přidán 7. 05. 2024
- 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. - Věda a technologie
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
Why can't i Find CHAT INPUT in the application
This is so good, I will implement it.
Genial, gracias por la explicación, ahora a probarlo 🤠
I’m confused. If you make temp 1 would that be ok creative? Would you want a number closer to zero for RAG accuracy?
Great stuff. Is there any chance you can upload how to use a SQL db to create a RAG chat bot?