Vector Database Benchmarks 2026: 4 Ranked by QPS, Recall & Cost
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.
Embedding Models Benchmark: OpenAI, Cohere, Voyage, BGE
A 2026 embedding models benchmark: OpenAI, Cohere, Voyage, and BGE on retrieval quality, dimensions, cost, and MTEB - with what changed for 2026.
pgvector vs Dedicated Vector Database: The 2026 ADR
pgvector vs a dedicated vector database in 2026: recall, latency, filtering, scale, operations, and cost - a decision record for choosing your vector store.
Fine-Tuning vs RAG vs Long-Context: A 2026 Cost/Quality Decision
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.
Vector Search in CouchDB: Options & 2026 Alternatives
Vector search in CouchDB in 2026: what is native vs not, integration patterns with dedicated vector databases, hybrid search, and when to migrate.
Semantic Caching for LLM Applications: Architecture (2026)
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 for Production LLM Agents (2026)
Context engineering patterns for production LLM agents in 2026 — retrieval, compaction, memory tiers, tool-result pruning, and what breaks at long horizons.
LLM Agent Memory Architecture for Production (2026)
LLM agent memory architecture for production — short-term, long-term, and episodic memory patterns, retrieval, decay, and where they break.
RAG Over CAD and BOM: Reference Architecture for PLM Knowledge Retrieval
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.
Q2 2026 Open-Source Embedding Models Benchmark: BGE, GTE, E5, Stella, Nomic
Q2 2026 open-source embedding models benchmarked — BGE-M3, GTE-Qwen2, E5-Mistral, Stella, Nomic on MTEB plus latency, memory, and industrial retrieval tasks.