This video provides quick overview of how DataStax and Langflow make it super simple to build RAG applications that interact with Large Language Models. After watching this video, you will be able to leverage Generative AI and Large Language Models (LLMs) to drive powerful business outcomes.
Additional Resources:
DataStax Developer Hub: https://datastax.com/devs
DataStax Blog: https://www.datastax.com/blog/technic...
Langflow: https://langflow.datastax.com
Astra DB: https://astra.datastax.com
Stay in touch:
Join our Discord Community: / discord
Follow us on X: https://x.com/DataStaxDevs
Chapters:
[00:00:00] Introduction
[00:00:12] Setting Up the Development Environment
[00:00:41] Langflow Overview
[00:01:17] Application Overview
[00:01:55] Installing and Running LangFlow
[00:02:34] Creating a Vector Store RAG Project
[00:03:37] Setting Up API Tokens and Configuring Components
[00:04:06] Running RAG Pipeline with Real Data
[00:05:00] Fine-Tuning and Reducing Hallucinations
[00:06:00] Enhancing User Experience with Streaming
[00:07:09] Building Powerful AI Experiences
[00:07:35] Exposing API for Application Integration
[00:08:01] Conclusion