towardsai/ragbook-notebooks
Repository for the "Building LLMs for Production" book by Towards AI.
These notebooks provide practical examples for building and deploying large language model (LLM) applications. You'll learn to take raw text, documents, or even YouTube video transcripts and create tools that can summarize information, answer questions, or generate analysis reports. This resource is for developers, data scientists, and machine learning engineers looking to integrate LLMs into production systems.
530 stars.
Use this if you are a developer looking for hands-on guidance to build and customize real-world applications using large language models, including summarizers, Q&A systems, and intelligent agents.
Not ideal if you are a business user or non-technical professional seeking a ready-to-use LLM application without needing to understand the underlying development process.
Stars
530
Forks
196
Language
Jupyter Notebook
License
—
Category
Last pushed
Jan 25, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/towardsai/ragbook-notebooks"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
WangRongsheng/awesome-LLM-resources
🧑🚀 全世界最好的LLM资料总结（多模态生成、Agent、辅助编程、AI审稿、数据处理、模型训练、模型推理、o1 模型、MCP、小语言模型、视觉语言模型） | Summary of the...
SylphAI-Inc/AdalFlow
AdalFlow: The library to build & auto-optimize LLM applications.
LazyAGI/LazyLLM
Easiest and laziest way for building multi-agent LLMs applications.
luhengshiwo/LLMForEverybody
每个人都能看懂的大模型知识分享，LLMs春/秋招大模型面试前必看，让你和面试官侃侃而谈
katanaml/sparrow
Structured data extraction and instruction calling with ML, LLM and Vision LLM