AI Research News: What Actually Matters to Builders, Filtered From the Noise
New model releases explained by unit economics: real context limits, 71x pricing spread, and rate-limit surcharges that actually break budgets.
RAG
GPT-5.5’s Context Window, Explained: What the Number Actually Buys You in RAG and Long-Running Coding Agents
GPT-5.5’s 1M-token window vs Claude Opus 5, Gemini 3.1/3.5 Pro — and why RULER shows RAG and coding agents break before the ceiling.
How to Pick an Embedding Model in 2026: OpenAI text-embedding-3 vs Voyage vs Cohere, Benchmarked on Real Retrieval Accuracy
Cohere embed-v4, Voyage 3.5, and OpenAI text-embedding-3 compared on MTEB score, price per 1M tokens, and real recall@10 retrieval tests.
Vector Database Pricing Compared: pgvector vs Pinecone vs Weaviate at 1M and 10M Embeddings
Real 2026 rate-card pricing for pgvector, Pinecone, and Weaviate at 10M and 100M vectors, plus why your embedding model choice doubles your storage bill.
What Is Vectorization? A Working Explainer for Builders Setting Up RAG
Vectorization turns text into searchable vectors. Real dimension counts, real pricing (OpenAI, Voyage), and the pgvector 2,000-dim limit that breaks RAG builds.
Fireworks AI’s $1.505B Round: What It Signals for Teams Fine-Tuning Their Own Models in 2026
Fireworks raised $1.505B at a $17.5B valuation. Here’s the real fine-tuning vs RAG cost math behind the specialized-AI bet.