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Nace AI launches Drex for Search to help agents retrieve exact file pages

AINace AI launched Drex for Search, a tool that lets agents find answers in cloud-stored files by locating the folder, file, and page, then returning the answer, quote, and page number. Nace reports 62% fewer steps and 56% fewer input tokens per question, and agents answered 67.1% of 529 queries correctly across six work benchmarks, up from 63.1%.

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The source gives measured changes in agent steps, token use, and accuracy, which helps readers judge whether file-search tools are worth testing against their own workloads.

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Nace AI launched Drex for Search, a tool that lets agents retrieve answers from files stored in the cloud by giving them the exact pages they need.

When given a question, Drex for Search first finds the likely folder, then the file, then the page, and returns the answer, the quote, and the page number where it found the info.

Drex Search is able to connect to a user’s AWS S3, Azure, and DigitalOcean, with the ability to read scanned PDFs, spreadsheets, email, and audio.

Coding agents such as Claude Code, Codex, and Hermes Agent can use it as a tool, with Nace reporting 62% fewer steps and 56% fewer input tokens per question.

Across 529 queries from six professional work benchmarks, including Databricks’ OfficeQA, agents using it answered 67.1% correctly, up from 63.1%.

Nace AI@NaceAI
Introducing Drex for Search 🔍 Supercharge your agentic search with Decision-powered retrieval Standard file search holds AI agents back. Drex changes that: • 62% fewer steps to find answers • 56% tokens saved • +4% performance boost across Claude Code, Codex, OpenCode, Hermes, and PI Validated across 6 professional work benchmarks like OfficeQA (529 real-world queries) Upgrade your agentic workflows with the File Search API Try for free: https://console.nace.ai Faster agents. Cheaper runs. Sharper accuracy.
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Original title: Nace AI launched Drex for Search, a tool that lets agents retrieve answers from files stored in the cloud by giving them the exact pages ...