In this video, Dieter Flick walks you through how to build a RAG chatbot using Langflow, DataStax Astra DB, and Streamlit. Learn about Langflow's intuitive, drag-and-drop interface, see the key components behind a RAG architecture, and watch how to build an application in just 5 minutes with Langflow and Astra DB vector database.

RESOURCES:
📖 Learn how DataStax + Langflow make RAG 100x easier: https://dtsx.io/3JleYN4
⭐️Check out Langflow on GitHub: https://dtsx.io/4aXybQX
💻Get started coding with our Langflow Quickstart Guide: https://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.
➡️DataStax + Langflow makes it 100x easier for all developers; So you can focus on what you actually want to focus on: Building your apps!

ABOUT DATASTAX
➡️DataStax is the company that helps Developers and Companies successfully create a bold new world through GenAI. We offer a One-stop Generative AI Stack with everything needed for a faster, easier, path to production for relevant and responsive GenAI apps.
➡️DataStax delivers a RAG-first developer experience, with first-class integrations into leading AI ecosystem partners, so we work out with developers’ existing stacks of choice.
➡️With DataStax, anyone can quickly build smart, high-growth AI applications at unlimited scale, on any cloud. Hundreds of the world’s leading enterprises, including Audi, Bud Financial, Capital One, SkyPoint Cloud, and many more rely on DataStax to deliver GenAI.

✅ Sign up to try DataStax Astra DB https://dtsx.io/3W4My1H