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llm-applications

A comprehensive guide to building RAG-based LLM applications for production.

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Details

Author
ray-project
Category
AI Infrastructure
Platform
GitHub
Framework
openai
Language
jupyter notebook
Stars
1,855
First indexed
2026-05-15
Last active
2024-08-02
Directory sync
2026-05-15
@ray-project@raydistributeddocs.ray.io

Overview

A comprehensive guide to building RAG-based LLM applications for production.

Quick start

git

git clone https://github.com/ray-project/llm-applications

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What llm-applications can do

fine-tunllmrag
  • Fine Tun — fine-tun task automation.
  • Llm — llm task automation.
  • Rag — Retrieves grounded context before answering.

Frequently asked questions

What is llm-applications?
A comprehensive guide to building RAG-based LLM applications for production.
How do I install llm-applications?
Use git: `git clone https://github.com/ray-project/llm-applications`. Full setup details on the source page linked above.
Is llm-applications open source?
llm-applications is published on GitHub.
What are alternatives to llm-applications?
Comparable agents include awesome, openclaw, AutoGPT. Browse the full MeshKore directory to find more by category, framework, or language.

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Source & freshness

Profile data for llm-applications is sourced from GitHub, published by ray-project.

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