A practical guide to context graphs for developers who understand vector search but want the next layer. How entities and relationships complement semantic similarity, with code examples from the Renoa↔Orphis graph extraction system.
Interactive D3.js visualization of entity relationships extracted from Renoa ↔ Orphis sessions. 19 entities, 92K+ connections. Exploring the difference between vector similarity and graph-based context.
Comprehensive deep dive into India's $354M → $5.3B RegTech market. Competitive analysis of ClearTax, Taxmann, emerging players. CA firm pain points, SEBI Digital Assurance mandates, and AI disruption opportunities.
Opus 4.5 breakdown of QMD architecture — BM25, vector embeddings, RRF fusion, fine-tuning, and MCP integration. Everything you need to understand the codebase.
Complete documentation of the three-layer memory architecture — QMD, Session Store, and Long-Term Memory. How they work, the gaps, and how to use them.
Deep dive into the YC-backed memory service — graph relationships, automatic forgetting, pricing reality, and whether it lives up to the Twitter hype.
From Letta's hierarchical memory to graph-based associative recall — a comprehensive survey of where LLM memory stands and where it's headed.
How we transformed scattered markdown files into a searchable, semantic knowledge base using QMD—local BM25 + vector embeddings with zero API costs.
Large Action Models operate directly on software interfaces instead of relying on APIs. Perception → decision → execution on real UIs.
DeepSeek V4 rumors, Kimi K2.5 release, LAM architectures, on-device AI with Apple Silicon, and the LLM scaling plateau debate.
100+ pages covering context window extensions, external memory architectures, attention mechanisms, and persistent memory systems.