Engineering Blog
Notes from the build.
Practical, engineering-first writing on Generative AI, RAG pipelines, vector databases, and LLM fine-tuning — the trade-offs we actually make when shipping AI to production.
LLM Fine-Tuning
LLM Fine-Tuning Costs Explained: A Practical 2026 Breakdown
What LLM fine-tuning actually costs in 2026 — full fine-tuning vs LoRA/QLoRA vs hosted APIs, GPU pricing, data prep, and when fine-tuning beats RAG or prompting.
July 9, 2026•9 min read
Vector Databases
Pinecone vs Weaviate vs Qdrant: Which Vector Database Should You Use in 2026?
A hands-on comparison of Pinecone, Weaviate, and Qdrant across performance, cost, hosting, filtering, and developer experience — plus a framework for choosing.
June 30, 2026•10 min read
RAG
How to Build a RAG Pipeline From Scratch: A Practical 2026 Guide
A step-by-step engineering guide to building a production RAG pipeline — chunking, embeddings, vector search, reranking, and evaluation — and the trade-offs that matter.
June 18, 2026•11 min read
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