The Production RAG Pipeline Refined at Pinecone
The complete pipeline experienced engineers actually need - not toy examples, not PhD theory. Real data processing, production deployment, zero hallucinations.
Step by step tutorial: how to build a production-ready RAG pipeline.
Includes direct support — ask me and I’ll help you ship
Chapters & major sections
A quick outline of what you'll learn and build
Getting Started
- Complete Example Code
- Try It Yourself
- What skills will I learn?
- System Architecture
Phase 1: Data Processing
- Load and configure the data processing notebook
- Clone the data source
- Install dependencies
- Loading blog posts into memory
- Creating a Pinecone index
- Creating a vectorstore with LangChain
- Understanding Document Chunking
Phase 2: Application Development
- Create the supporting services
- The context service
- The embeddings service
- The Pinecone service
- Create the chat API
- Create the user interface
Phase 3: Deployment
- Additional Resources
What you get
Everything you need to ship a production-ready solution
Interactive Jupyter Notebook
The data science half of RAG that most engineer-focused guides skip. This notebook teaches rigorous data prep: loading and cleaning sources, chunking strategies (with trade-offs), embedding creation, and Pinecone indexing — all step-by-step so you understand exactly what happens to your data and why it matters at query time.
Production-Ready Next.js Application
Full source code for a modern web application built with the Vercel AI SDK. Features streaming responses, citation support, related content suggestions, and a beautiful chat interface. Deploy it to Vercel with one click or run it locally for development.
Comprehensive Step-by-Step Tutorial
Detailed written guide that explains every concept, from RAG fundamentals to advanced implementation patterns. Learn not just how to build it, but why each piece works and how to customize it for your specific use case. Perfect for developers who want to truly understand the technology.
Afraid you'll get stuck?
Direct Email Support
Ask me your questions as you build. I’ll review issues, point you to the right patterns, and help you get to a working, production‑ready result.
- Fast answers to unblock you
- Code-level guidance and patterns
- Included with purchase — no extra fees
Get the free version of this tutorial
Enter your email and I'll send you the free version of Tutorial: Build a RAG pipeline with LangChain, OpenAI and Pinecone — a working taste of the pipeline and approach. You'll also get occasional, practical updates. Unsubscribe anytime.
What developers say
Built by someone with 13 years shipping production software
“When I ran your software, I felt joy”
“He is a brilliant engineer who truly cares about his code and the people who use it. He has the remarkable ability to pick apart hard problems (technical or otherwise) and put together a solution that benefits everyone.”
“Zack thinks fast, adapts to shifting requirements, and has proven he can quickly ramp up on the latest technologies to put them to good use.”
Tutorial: Build a RAG pipeline with LangChain, OpenAI and Pinecone
After 2 years building and fixing RAG at Pinecone, I refined this complete pipeline. See your data transform in Jupyter, deploy with Next.js and Vercel AI SDK, ship to production in 3 hours. Includes direct support from me — ask questions and I’ll help you implement. This is the fundamental AI engineering skill everyone's hiring for.
One-time purchase
$149USD
The fundamental AI skill everyone's hiring for. Includes direct support — ask me your questions and I'll help you ship.
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Team / Company License
$450USD
- • Unlimited seats with one company email domain (TLD)
- • Direct email support: ask me questions about your implementation
- • Internal commercial use rights for your team
One license per company domain. Forward to your team freely.
Author
Hi, I'm Zachary Proser
I'm a software engineer with over 13 years of experience building production systems.
