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RAG

Engineering Lessons From Building an LLM PoC: What I Learned Building SheepOp

Engineering Lessons From Building an LLM PoC: What I Learned Building SheepOp

Creating a full transformer implementation and RAG optimizer from scratch provides insights that typical high-level frameworks obscure. Over the past days, I've built two open-source projects—SheepOp, a transformer implementation from scratch, and the LLM RAG Data Structures Optimizer, a production-grade optimization library. The experience revealed several lessons

Retrieval Optimization for RAG: Data Structures That Make Search Fast and Reliable

Retrieval Optimization for RAG: Data Structures That Make Search Fast and Reliable

In Retrieval-Augmented Generation (RAG) systems, inference efficiency only solves half of the problem. The other half lies in retrieval. Dense retrieval models, vector search indexes, and hybrid scoring mechanisms all rely on data structures whose design significantly impacts performance. While many developers focus on model architecture and fine-tuning, the retrieval