Qdrant's Nano and Zero Embeddings Work With Stella Indexes
Embedding compatibility across model sizes means teams can swap between a fast, cheap query encoder and a higher-quality one without re-embedding their corpus, which cuts both cost and maintenance work. Engineers running RAG or search pipelines with tight latency budgets should evaluate where Nano and Zero land against their current setup.
