Agentic Search. More accurate and efficient results from your AI systems.
Mistral’s Agentic Search adds a multi‑step retrieval loop that lets models search, navigate, and verify information across complex documents, improving accuracy and reducing latency. The system builds on existing indexes with five file‑system‑style tools—search, open, navigate, read, and grep—allowing iterative refinement of results. Benchmarks show a 3× jump in correctness on financial filings and a 45‑point gain on table‑heavy queries, while cutting p90 latency by up to 40% and token use by a third.
The Core Development
Mistral Agentic Search helps enterprises get better results from their AI systems by letting models search and navigate their organization’s most complex data and documents. Agentic Search introduces a multi-step retrieval loop for finding, inspecting, and verifying information across data sources, wherever it is stored. Agentic Search is available through Mistral Search Toolkit , built into Libraries in both Studio and Vibe , and gives you:
Support for sensitive domain-specific data . Mistral’s portable and open tooling helps you unlock value from your data without crossing your isolation boundaries in the cloud or on-premises.
Improved search results. Your models can search and navigate your data beyond retrieved chunks–inside long, dense documents or across multiple sources.
Real-World Use Cases & Applications
Competitive edge is built upon years of real-world operations–your data, your processes, and your domain expertise. Proprietary knowledge is both critical to your success and highly confidential, meaning it lives behind isolation boundaries, segmented deployments, and self-hosted platforms. It accumulates in financial filings, legal contracts, internal resources, and government records–long, dense documents that traditional search methods can’t navigate effectively.
Simple, predictable questions. Use cases where the likely source and location of the answer are known in advance and additional retrieval steps are unlikely to improve the result.
Strategic Perspective & Ecosystem Impact
Access to existing indexes. Agentic Search builds on your existing search index using five tools: search , open , navigate , read , and grep .
Higher accuracy. Agentic Search delivers to 3x correctness on financial filings, from 26.7% to 86%, based on FinanceBench. On table-heavy, multi-doc questions of the OfficeQA Pro benchmark, we measure a +45.6 point gain (6.3% to 51.9%).
Lower latency and token use. Targeted navigation enables Agentic Search to reduce p90 latency up to 39.6% . Fewer repeated searches reduce token consumption by up to one-third.
Why it matters
By enabling models to iteratively refine searches and verify evidence, Agentic Search addresses limitations of one‑shot RAG, boosting reliability for sensitive, table‑heavy data—a critical need for enterprise AI deployments.