Job-Ready Series · Job-Ready Series, Job-Switch edition

AI Engineering: RAG, GraphRAG & Enterprise Agents

by Shreyash Tripathi · Full-Stack Developer & UI/UX Engineer

Build what every company wants now: RAG with pgvector, knowledge graphs with Apache AGE, GraphRAG, and permission-aware enterprise agents with MCP, all on PostgreSQL, with real Python code, labs, scenarios and portfolio projects.

RAG with pgvector and GraphRAG with Apache AGE, all on PostgreSQL
AI agents, tool calling, LangGraph and MCP
120+ interview questions with answers

Job-Switch edition · 420 pages · PDF

download_free_preview request_full_book

Free preview: first 2 chapters (43 pages). Full book: free on request for now, sent by email.

What's inside

24 chapters and sections. The ones marked free are in the preview.

1. The AI Engineer Job and Roadmapfree
2. LLMs for Developersfree
3. Embeddings and Vector Search
4. PostgreSQL for AI Engineers
5. RAG Architecture End to End
6. Ingestion, Parsing and Chunking
7. pgvector in Depth and Hybrid Search
8. Advanced RAG Techniques
9. Evaluating and Debugging RAG
10. Knowledge Graphs Fundamentals
11. Apache AGE: Graphs inside PostgreSQL
12. Building Knowledge Graphs with LLMs
13. GraphRAG
14. Hybrid Retrieval: Vectors and Graphs in One Postgres
15. AI Agents and Tool Calling
16. Frameworks and Protocols: LangChain, LlamaIndex, LangGraph and MCP
17. Multi-Agent Systems and Enterprise Agents
18. Production AI Systems
19. AI Portfolio Projects and Real Scenarios
20. AI Engineering Interview Question Bank
Appendix A: SQL, pgvector and Cypher Cheat Sheet
Appendix B: Code Templates
Appendix C: Glossary
Appendix D: Job Switch Toolkit

Who this book is for

Software developers switching into AI engineer, LLM engineer or applied AI roles
Backend and data engineers who want to build RAG, GraphRAG and agents on PostgreSQL
Students preparing for AI engineering interviews who need real projects and a question bank

Study plan for placements

01 Steady pace: one chapter a day takes about 24 days.
02 Revision pace: two chapters a day takes about 12 days.
03 Read the worked examples, then answer the interview questions without looking before checking the answers.

AI Engineering: questions students ask

Is AI Engineering: RAG, GraphRAG & Enterprise Agents good for switching to an AI engineer job?

Yes, it was written for developers moving into AI engineering roles and students targeting AI and LLM jobs. It starts from the basics (The AI Engineer Job and Roadmap, LLMs for Developers, Embeddings and Vector Search) and goes all the way to AI Portfolio Projects and Real Scenarios, with 120+ interview questions with answers.

Is there a free PDF of AI Engineering: RAG, GraphRAG & Enterprise Agents?

Yes. The free preview PDF on this page has the first 2 chapters (43 pages). The full book is free on request for now: use the "request full book" button and it's sent to you by email.

How long does it take to finish AI Engineering?

Steady pace: one chapter a day takes about 24 days. Revision pace: two chapters a day takes about 12 days.

Who wrote AI Engineering: RAG, GraphRAG & Enterprise Agents?

Shreyash Tripathi, a Full-Stack Developer and UI/UX Engineer from India. He wrote the Job-Ready Series after struggling with scattered study material before his own placements, to give students one clear resource per subject.

Why I wrote these books

Before placements, my problem wasn't a lack of material. It was too much of it. A playlist for DBMS, a PDF for OS, three websites for DSA, and a new "must-watch" video every day. I kept switching sources, kept getting distracted, and never knew if I had covered what interviews actually ask.

I wrote them for students and early-career developers who want a serious internship or job and are tired of jumping between ten sources. Start with the free preview. If it helps, ask me for the full book.

— Shreyash Tripathi