Name: Steps to Production: Evaluating RAG Pipelines
Start: 2024-05-30T18:00:00+02:00
End: 2024-05-30T19:00:00+02:00

Join our upcoming livestream to discuss evaluating RAG systems before they hit production. For this event, we are joined by experts from [Qdrant](https://qdrant.tech/) and [Ragas](https://docs.ragas.io/en/stable/), who will share their invaluable insights 🚀

📅 Agenda:

​🎙️Talk 1: *Integrating User Feedback into Your Evaluation Stack with ragas* by [Shahul Es](https://www.linkedin.com/in/shahules)
​​🎙️Talk 2: *RAG Evaluation in Action: Building, Tackling Cold Start Challenges, and Optimizing Your RAG with Qdrant and RAGAS* by [Atita Arora](https://x.com/atitaarora)

Note: The event will be recorded, and there will be time for questions after each talk.

Don't miss this chance to learn how to evaluate RAG pipelines!

👉 Registration and more info on luma: [https://lu.ma/7vc43x9q](https://lu.ma/7vc43x9q)

Julian Risch

Open NLP Group

Technology

Open Source

Natural Language Processing

Machine Learning

Deep Learning

Machine Learning with Python

Steps to Production: Evaluating RAG Pipelines

Artificial Intelligence

Online event

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Open NLP Group

Steps to Production: Evaluating RAG Pipelines

Open NLP Group

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