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Christina Zhu

Philipp Moritz

Pain-free Python dependencies in clusters with uv + Ray! Learn how to build lightning-fast, consistent environments for distributed applications.

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uv + Ray: Pain-Free Python Dependencies in Clusters

Goku Mohandas

In this guide, we will learn how to develop and productionize a retrieval augmented generation (RAG) based LLM application, with a focus on scale and evaluation.  

social-rag-based-llm

Building RAG-based LLM Applications for Production

Amog Kamsetty

In part 2 of this blog series, we show you how to turbocharge embeddings in LLM workflows using LangChain and Ray Data.

Embedding - Stages of our Data Pipeline

Turbocharge LangChain: Guide to 20x Faster Embedding

Turbocharge LangChain: guide to 20x faster embedding

The Ray Summit 2025 CfP is now open for submissions. The premier AI conference will be held November 3-5 in San Francisco, and the due date for CfPs is June 30th, 2025.  

Ray Summit 2025 CFP Open

Ray Summit 2025: Call for Proposals Closes on June 30th, 2025

Google + Anyscale

Google Cloud Integrates Anyscale's RayTurbo with GKE

Simplifying AI Development at Scale: Google Cloud Integrates Anyscale's RayTurbo with GKE

At Ray Summit 2024, we brought together AI experts and practitioners to dive into the future of distributed AI and scalable machine learning.

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Ray Summit 2024: Breaking Through the AI Complexity Wall

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