Real Time Web Search Grounded Generation

via “google search grounding with real-time web integration”

Google's fast multimodal model with 1M context.

Unique: Native integration of Google Search results into model inference, enabling automatic grounding without separate RAG pipelines or external search APIs, with results incorporated directly into token generation

vs others: Eliminates latency of separate RAG systems (which require embedding, retrieval, and re-ranking steps) by integrating search at inference time; more current than static knowledge bases used by GPT-4 and Claude