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Goku Mohandas

Philipp Moritz

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.  

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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

Anyscale + Astronomer

Scalable Machine Learning with Anyscale and Astronomer

Unlocking the Power of Scalable Machine Learning with Anyscale and Astronomer

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

Explore the new and improved Anyscale Workspaces. Get advanced observability features so you spend less time on busywork and more time building AI apps.

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Explore Anyscale’s New UX

Anyscale’s New User Experience: A Comprehensive Overview

With Anyscale on AWS Marketplace, you can build, scale, and optimize AI/ML and Generative AI—all within the trusted AWS cloud environment.

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Anyscale Available on AWS Marketplace

Anyscale Now Available on AWS Marketplace and Achieves Generative AI Competency

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Anyscale is the leading AI application platform. With Anyscale, developers can build, run and scale AI applications instantly.

Featured Posts and News

Unlocking the Power of Scalable Machine Learning with Anyscale and Astronomer

Ray Summit 2024: Breaking Through the AI Complexity Wall

Anyscale’s New User Experience: A Comprehensive Overview

Building RAG-based LLM Applications for Production

Turbocharge LangChain: guide to 20x faster embedding