𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗟𝗶𝗯𝗿𝗮𝗿𝘆

Most people don't struggle because information is unavailable.

They struggle because everything is scattered.

One GitHub repository explains LangGraph. Another covers RAG. Research papers live somewhere else. Documentation keeps changing. Before you know it, you've opened 50 tabs and still don't know where to begin.

I built this library to solve that problem.

Instead of spending countless hours searching the internet, you'll get a carefully organized collection of technical resources covering the topics every modern AI Engineer should understand.

Everything is arranged into dedicated folders so you can focus on learning instead of searching.

𝗪𝗵𝗮𝘁'𝘀 𝗜𝗻𝘀𝗶𝗱𝗲

📁 Agentic AI

📁 AI Engineering

📁 Large Language Models

📁 Retrieval Augmented Generation

📁 LangGraph

📁 OpenAI Agents SDK

📁 Model Context Protocol

📁 Prompt Engineering

📁 Evaluation

📁 Observability

𝗪𝗵𝗮𝘁 𝗬𝗼𝘂'𝗹𝗹 𝗙𝗶𝗻𝗱

• Technical Books

• Research Papers

• Engineering Guides

• Framework Documentation

• Lecture Notes

• Learning Resources

• Technical References

• Curated Reading Material

Everything is organized by topic, making it easy to revisit concepts whenever you're building projects, preparing for interviews, or exploring new technologies.

𝗪𝗵𝗼 𝗜𝘀 𝗧𝗵𝗶𝘀 𝗙𝗼𝗿

✓ AI Engineers

✓ Machine Learning Engineers

✓ Software Engineers

✓ Students

✓ GenAI Developers

✓ Builders who want a reliable technical reference library

━━━━━━━━━━━━━━━━━━

𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗟𝗶𝗯𝗿𝗮𝗿𝘆

✓ Spend less time searching

✓ Learn from organized resources

✓ Keep everything available offline

✓ Build your own technical knowledge base

✓ Find relevant material in minutes

✓ Learn at your own pace

𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆

Instant access through Google Drive.

Simply add the shared folder to your Google Drive and access it anytime.

If you ever need help accessing the library, feel free to contact me at [email protected].