Technical Deep Dives
High-density engineering breakdowns of the primitives and architecture powering the future of consultative commerce.
Architecture & Implementation
- λ Synthesis and Retrieval: From Transcript to Answer
An engineering decisions record for a creator-knowledge bot — how a raw transcript becomes a grounded, time-linked answer through semantic chunking, over-fetch-and-gap retrieval, source diversification, and a code-enforced grounding contract.
Jul 2026 / RAGpgvectorSupabaseOpenAI EmbeddingsLlamaIndexPython / Advanced - λ Simasia: A Brand-Tone Guardrail for LLM Output
How to build a small, cheap classifier that scores whether an AI reply sounds like your brand — and then steers the model until it does. One frozen embedding model, one logistic head per brand.
Jul 2026 / Pythonscikit-learnEmbeddingsOpenAICLIjoblib / Advanced