sonar-deep-research

Sonar Deep Research is a specialized agentic model designed for developers building high-autonomy research tools. Unlike standard RAG implementations that rely on single-turn retrieval, this model employs a multi-step reasoning loop to navigate complex information landscapes. It autonomously executes iterative search queries, evaluates source credibility, and synthesizes findings into structured outputs. For engineers, this means moving beyond simple 'search-and-summarize' workflows toward building sophisticated autonomous agents capable of deep-dive technical analysis or market intelligence. With a 128k context window, it handles extensive source material without losing coherence. While standard LLMs struggle with hallucination during multi-step tasks, Sonar Deep Research uses active verification to refine its trajectory, making it a robust choice for applications requiring high factual density and logical synthesis over long-form investigations.