Mistral Unveils Agentic Search: Tripling Accuracy in Financial Reports
Mistral has presented a draft for Agentic Search, a multi-step approach to document retrieval. The method increases accuracy in financial analyses from 26.7 per cent to 86 per cent.
What happened?
Mistral has presented a draft for Agentic Search, a new approach to document retrieval in Retrieval-Augmented Generation (RAG) systems. Instead of traditional single-step vector search, the model is equipped with five specific tools: search, open, navigate, read, and grep. This allows the model to autonomously search, open documents, navigate to relevant sections, read content, and perform precise string searches across multiple steps before determining an answer.
Key facts
| Träffsäkerhet FinanceBench | Ökning från 26,7 % till 86 % |
|---|---|
| Träffsäkerhet OfficeQA Pro | Ökning från 6,3 % till 51,9 % |
| Antal sökverktyg | 5 verktyg (search, open, navigate, read, grep) |
Why it matters
Traditional RAG systems often fail when important information is scattered across long documents—for example, when a financial metric requires context from footnotes dozens of pages away. Mistral's multi-step method has shown dramatic results in evaluations: on the finance benchmark FinanceBench, accuracy increased from 26.7% to 86%, while results on OfficeQA Pro rose from 6.3% to 51.9%.
Who is affected?
The feature primarily concerns AI developers, financial analysts, and legal professionals working with complex documentation. By explicitly logging each step of the search process, users gain full traceability regarding which pages, tables, and footnotes form the basis of the provided answer.
Impact on the EU
The agentic search system is expected to be available globally and has no specific geographical restrictions. There is no separate status or accessibility limitation for users within the EU.
What else you should know
The documentation highlights that the clear tool log provides auditable traceability. This is a critical function for organizations in highly regulated sectors such as finance and law, where automated decisions and responses must be validated against the source material.
Quick answers about this story
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