Easiest way to build LLM apps - Langflow 1.0 demo and deep dive!

In this livestream Rodrigo Nader and Misbah Syed of Langflow give you a deep dive into the new Langflow 1.0, a visual framework for building LangChain-based AI applications that use RAG (retrieval augmented generation) and multi-agent AI pipelines.
Langflow is open source and agnostic to any data source, database, or API!
In this video we cover new features for Langflow 1.0 and the new Langflow hosted cloud service provided by DataStax as well as the new LangSmith integration! There is more including:
- creating custom components
- multiple outputs per components
- composition and flow of components for complex AI pipelines
- output preview
- multi-modal and multi-model (both!)
- input and output handling
- memory management
- logs and monitoring

[@RodCoelho]

It would be nice to see a video about how to create a component. For example I would like to build a component to integrate with POE bots.

[@herikaazevedo4282]

How do I send email with the output from my data? Which component can I use for emailling please?

[@wesleymogaka]

I would love to see an FAQ splitter (split into Q & A pairs), since this is one of the major use-case for RAG. Will try to create a compnent for that. I have the python code.

[@CodexOdyssey]

please make full dock and deploy doc

[@HillParkEnterprise]

Looking forward to example collections

[@iainhmunro]

Missed the bit about how to deploy it

[@muneebbaig6]

Well explained and very innovative!