A 2026 vector database benchmark: Pinecone, Weaviate, Qdrant, and Milvus on recall, latency, throughput, and cost - with what changed in the second half of 2026.
pgvector vs a dedicated vector database in 2026: recall, latency, filtering, scale, operations, and cost - a decision record for choosing your vector store.
A 2026 cost and quality decision record for fine-tuning vs RAG vs long-context LLMs: token economics, latency, accuracy trade-offs, and a decision matrix.
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.