https://github.com/datastaxdevs/ai-evaluation-langflow-phoenix
Using Langflow and Arize Phoenix for rapidly developing and evaluating a RAG chatbot.
https://github.com/datastaxdevs/ai-evaluation-langflow-phoenix
Last synced: 5 months ago
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Using Langflow and Arize Phoenix for rapidly developing and evaluating a RAG chatbot.
- Host: GitHub
- URL: https://github.com/datastaxdevs/ai-evaluation-langflow-phoenix
- Owner: datastaxdevs
- Created: 2025-02-18T05:53:36.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-02-18T06:07:22.000Z (12 months ago)
- Last Synced: 2025-02-18T07:23:06.887Z (12 months ago)
- Language: Jupyter Notebook
- Size: 354 KB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# ai-evaluation-langflow-phoenix
This repository contains code and data for the blog [Build More Accurate AI Apps Through Fast Experimentation with Arize Phoenix, Langflow, and NVIDIA](https://www.datastax.com/blog/build-more-accurate-ai-apps-with-arize-phoenix-langflow-and-nvidia).
Following along with the blog you'll learn to
* Setup Langflow and Arize Phoenix
* Use NVIDIA AI Enterprise embedding and reranking models
* Run experiments with Arize and Langflow to understand how changes to your AI flows effect accuracy