A 2026 architecture guide to semantic caching for LLM apps: embedding similarity lookup, cache invalidation, hit-rate tuning, and where it quietly breaks.
Context engineering patterns for production LLM agents in 2026 — retrieval, compaction, memory tiers, tool-result pruning, and what breaks at long horizons.
RAG over CAD and BOM data for PLM knowledge retrieval — chunking strategies for engineering drawings, BOM graph embeddings, and a reference architecture proven in 2026 production.
Deep-dive into GraphRAG architecture patterns — knowledge graph construction, community detection, graph-enhanced retrieval, and when GraphRAG outperforms naive vector RAG. Benchmarks and trade-offs.