How to Build an LLM Query Engine in 10 Minutes - LlamaIndex and Ray Crossover

Explore a 10-minute tutorial on building an LLM query engine using LlamaIndex and Ray. Discover key challenges in building and scaling LLM applications as Jerry, co-founder and CEO of LlamaIndex, and Amog, Ray developer at Anyscale, guide you through a practical code demonstration. Follow along with the provided code and delve deeper into the topic through the accompanying blog post. Gain insights into distributed systems, machine learning, and Python programming while learning about powerful tools like Ray and LlamaIndex. Access additional resources, including documentation, GitHub repositories, and community platforms to further enhance your knowledge and connect with like-minded developers.

Intro
Challenges
Example
In Action
Conclusion