Switch RAG to open-source embeddings (BGE-M3, Qwen3-Embedding) now at ~95% of API quality

StackAI·low signal

2026 embedding comparisons show open-source models BGE-M3 and Qwen3-Embedding reaching roughly 95% of proprietary API performance, making self-hosted embeddings viable for cost- and privacy-sensitive RAG where text-embedding-3-large was previously the default. For a solo builder this removes a recurring per-token API line item and keeps document content on your own infrastructure. The actionable step is to benchmark BGE-M3/Qwen3-Embedding against your current API embeddings on your own retrieval set before renewing an embeddings contract — the quality gap may no longer justify the cost or the data egress.