Non-Brand Data | Cornellius Yudha Wijaya | Substack

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RAG-To-Know🔍

RAG Evaluation Monitoring and Logging with Opik

NBD Lite #53 How you splitting your data can affect the RAG performance

May 14, 2025 • Cornellius Yudha Wijaya

9 Chunking Strategies to Improve RAG Performance

NBD Lite #52 How you splitting your data can affect the RAG performance

Mar 10, 2025 • Cornellius Yudha Wijaya

Explainable RAG for More Trustworthy System

NBD Lite #51 Evaluate both the retrieval and generation in systematic ways

Feb 14, 2025 • Cornellius Yudha Wijaya

Enhance RAG Accuracy with Corrective-RAG (CRAG)

NBD Lite #50 Implement self-reflection for the retrieved documents

Feb 6, 2025 • Cornellius Yudha Wijaya

career

My book is out: Python Data Analysis, Fourth Edition

Co-written with my co-author, and what the year of writing it was like.

Jul 4 • Cornellius Yudha Wijaya

Fix it or throw it away: deciding what to do with an AI output

The harder part is knowing which problems you can fix and which ones mean starting over.

Jun 30 • Cornellius Yudha Wijaya

Why Most GenAI Workflows Need a Review Loop

A Better Prompt Is Not Enough

Jun 24 • Cornellius Yudha Wijaya

Manager Memo: Reviewing GenAI Output Before It Reaches Stakeholders

A guide for managers who approve AI-assisted work: what to check, when to reject, and how to talk to stakeholders about it.

Jun 20 • Cornellius Yudha Wijaya

python

Building a Minimal Agent Harness in Python

A beginner-friendly guide to running agent code in another process and stopping it when it takes too long.

Jul 16 • Cornellius Yudha Wijaya

My book is out: Python Data Analysis, Fourth Edition

Co-written with my co-author, and what the year of writing it was like.

Jul 4 • Cornellius Yudha Wijaya

Batch Screening Fundamentals with Financial Modeling Prep and Streamlit

Build a Lightweight Stock Screener For Your Fundamental Analysis

Jan 7 • Cornellius Yudha Wijaya

Building an Open-Source Microservice for Financial Data Retrieval with Financial Modelling Prep

Company-Fundamental Tracking Microservice that is Suitable For Your Requirements.

Dec 6, 2025 • Cornellius Yudha Wijaya

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Recent posts

3 Things I Learned Testing One Market Data API Across 9 Markets

Building a live price alert dashboard across stocks, forex, futures, and crypto

Aug 13 • Cornellius Yudha Wijaya

Stock API: What it is and Why it Matters

How I decide on a data provider before writing the integration, and why that choice outlasts the code.

Jul 26 • Cornellius Yudha Wijaya

Manager Memo: Does Your Team Still Need SQL when AI writes it?

For managers evaluating AI-assisted analytics and data-team operating models

Jul 19 • Cornellius Yudha Wijaya

Building a Minimal Agent Harness in Python

A beginner-friendly guide to running agent code in another process and stopping it when it takes too long.

Jul 16 • Cornellius Yudha Wijaya

Why Valid SQL Returns Wrong Numbers

Three ways a query runs without an error and still returns the wrong number, with the query and the fix for each.

Jul 9 • Cornellius Yudha Wijaya

Fix it or throw it away: deciding what to do with an AI output

The harder part is knowing which problems you can fix and which ones mean starting over.

Jun 30 • Cornellius Yudha Wijaya

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