Producing a desk-research brief with a link on every line
A question is handed over — how drone spraying is regulated for contract farming, who supplies sub-ten-litre cold-chain boxes — and a retrieval system searches, reads what it finds and writes a short brief in which each sentence carries the link it came from. The analyst's job shifts from finding sources to confirming that each link says what the line claims.
- Effort
- Weeks of work
- Skill level
- Comfortable with software
- Organisation size
- Small business
- Value
- Time saved
Tools named for this
- A retrieval-augmented research agent that must attach a source to each sentence
- A date filter and a re-check pass, because the answer moves
- A reviewer's checklist that opens a fixed sample of links on every brief
What to check before you ship it in India
- Market briefs collect named people — founders, distributors, officials — alongside firms. Section 3 carries one narrow public-data carve-out: personal data made or caused to be made publicly available by the data principal herself, or by someone under a legal obligation to make it public. The carve-out turns on who published it, so a profile compiled about a person by a third party does not fall inside it and needs a lawful ground like anything else.
- A question can be unanswerable as asked. The benchmark built for this reports that models regardless of size struggle both on fast-changing knowledge and on questions containing a false premise, and a research question written by someone with a hypothesis very often carries one.
Sources
Every claim on this page traces to one of these, on the date it was read.
- FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation · arXiv (Vu, Iyyer, Wang, Constant, Wei, Wei, Tar, Sung, Zhou, Le, Luong; Google and University of Massachusetts Amherst) · how it is done · read 2026-09-01
- The Digital Personal Data Protection Act, 2023 (No. 22 of 2023) — most obligations commence 13 May 2027 under the DPDP Rules 2025 — s.3 · Ministry of Electronics and Information Technology · a rule · read 2026-09-01
- Evaluating Verifiability in Generative Search Engines · Liu, Zhang, Liang (Stanford University); Findings of EMNLP 2023 · how it is done · read 2026-09-01