07.24.2026Encoders
Cross-Encoders vs Bi-Encoders
The architecture backbone of modern AI search engines, RAG pipelines, and recommendation systems
5 min read13
/root/publications
Dev Journal.
Technical insights, architectural teardowns, and engineering philosophies.
6 entries
07.15.2026RAG
Maximal Marginal Relevance: The Redundancy Problem RAG Pipelines Don't Talk About
Better embeddings. Better chunking. Better reranker. Almost nobody optimizes for the fact that "top 5 most similar" can mean "the same sentence, five times."
6 min read3
07.09.2026Coreference Resolution
Coreference Resolution: The Preprocessing Step Most LLM Pipelines Skip
It's not a RAG problem. It's a "does your system know what 'it' means" problem - and it shows up everywhere language meets action.
10 min read6
07.03.2026RAG
HyDE and IRCoT: Retrieval Tricks That Actually Improve Domain-Specific RAG
Most of the tutorials stop at the “embed the query, use cosine similarity” but the magic of RAG is in something else…
5 min read6
06.20.2026RAG , Fine Tuning
RAG vs Fine-Tuning: A Builder's Framework for Choosing the Right AI Strategy
Let us be honest. Right now, the sheer number of options surrounding us as developers is overwhelming. Every single day, a new architecture, a new buzzword, or a new framework drops — and we are left staring at our screens wondering which strategy to opt for.
7 min read21
02.01.2026System Design
Beyond the Browser: Investigating the Domain Name System
A deep dive into what happens in the 100ms after you type a URL. Uncovering the invisible global relay race of the Domain Name System.
5 min read16