#ML — Carlos Rodrigues

GraphRAG – how agents can leverage structured knowledge and stay on track: #AI for dummies #6

By Carlos Rodrigues

15 min read

GraphRAG – how agents can leverage structured knowledge and stay on track: #AI for dummies #6

This article compares standard vector RAG with GraphRAG, explaining when global synthesis and multi-hop reasoning justify higher ingestion cost and latency. It then builds a PostgreSQL proof of concept using pgvector and Apache AGE with Docker and a Python retrieval pipeline.

2026-08-08 Read more

By Carlos Rodrigues

6 min read

Target Encoding: AI for Dummies #5

At the end of our One Hot encoding article, we left a small elephant in the room: what happens when your categorical column has 50… Continue readingTarget Encoding: AI for Dummies #5

2026-08-06 Read more

Understanding backpropagation: AI for Dummies #4

By Carlos Rodrigues

3 min read

Understanding backpropagation: AI for Dummies #4

If you have spent any time in the machine learning space, you have inevitably scratched your head around the concept of backpropagation. It is the… Continue readingUnderstanding backpropagation: AI for Dummies #4

2026-07-26 Read more

By Carlos Rodrigues

6 min read

Feature Scaling: AI for Dummies #3

One of the things that may be bothering you if you followed #1 and #2 is the fact that we never talked about what happens… Continue readingFeature Scaling: AI for Dummies #3

2026-06-19 Read more

Handling Categorical Data with One-Hot Encoding: AI for Dummies #2

By Carlos Rodrigues

8 min read

Handling Categorical Data with One-Hot Encoding: AI for Dummies #2

If you’ve been following along with this series, you’ll know that in the first post we built a simple ML model to predict diabetes. We kept things… Continue readingHandling Categorical Data with One-Hot Encoding: AI for Dummies #2

2026-06-11 Read more