KKurikoinkuriko-iwai.com·Apr 5 · 14 min readArchitecting Semantic Chunking Pipelines for High-Performance RAGIntroduction While Retrieval-Augmented Generation (RAG) has become the gold standard for grounding AI in private data, the quality of its output is only as good as the information it retrieves. To ens00
KKurikoinkuriko-iwai.com·Mar 29 · 16 min readHow to Build Reliable RAG: A Deep Dive into 7 Failure Points and Evaluation FrameworksIntroduction Retrieval-Augmented Generation (RAG) is critical for modern AI architecture, serving as an essential framework for building context-aware agents. But moving from a basic prototype to a pr00
KKurikoinkuriko-iwai.com·Mar 21 · 21 min readThe Mathematical Memory of AI: Understanding Vector Databases and Embedding PipelinesIntroduction Artificial Intelligence (AI) understands the nuance, context, and semantic meaning of data. But a significant challenge persists: traditional databases are built for keywords matches, whe00
KKurikoinkuriko-iwai.com·Mar 20 · 15 min readA Technical Roadmap to RAG Architectures and Decision Logic (2026 Edition)Introduction AI agents are powerful, but they aren’t perfect. While they can reason and execute tasks, they suffer from hallucinations and a lack of access to specialized, real-time data. This makes t00
KKurikoinkuriko-iwai.com·Mar 18 · 12 min read[Course Module 3] Engineer High-Fidelity SLM for Edge AI with Multi-step Tuning PipelineIntroduction Large Language Models (LLMs) are accessible in any occasion, on any device. But LLMs with hundreds of billions parameters are too expensive for low-latency applications, while vanilla sma00
