4 articles tagged
Four Postgres-native vector search options, one decision: compare pgvector, pgvectorscale, ParadeDB and Lantern on recall, latency, hybrid search and cost, plus the scale ceiling where a dedicated engine wins.
A senior-engineer comparison of RAG embedding models in 2026: NVIDIA Nemotron 3 Embed, OpenAI text-embedding-3, Cohere Embed v4 and open-weight Qwen3, with RTEB benchmarks, pricing and self-host break-even math.
Stanford found RAG-backed legal tools still hallucinate 17-34% of the time. Here is what an enterprise RAG knowledge assistant costs in 2026, which retrieval setup actually works, and how eCorpIT builds one.
Most pgvector-versus-vector-database comparisons quote one vendor benchmark from April 2025 that ran no filtered queries and tested an extension most teams do not install. Here is what the primary sources actually
