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Web-Grounded Decisions (RAG for Decision Models)

A web-grounded decision searches the live web, then answers typed questions about a subject with probabilities and sources in one call. Parallel's Decisions API, launched in late October 2026, is the first to ship publicly by its maker's account. It fixes the stale-knowledge problem of a plain decision model and adds new ones: evidence shared across questions, citations that do not map to answers, and confident answers built on whatever the web repeats most.

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Practise this in questions

RAG & Agent System DesignYou refresh 50,000 CRM company records nightly with a web-grounded decision API. Design it so a wrong answer never overwrites a right one. →hard · PremiumRAG & Agent System DesignA customer wants a deep-research agent over their private docs and the open web. Design it so stakeholders trust the citations. →expert · PremiumMachine Learning & Data ScienceHow do you evaluate a web-grounded decision API when the right answer changes with the web? →hard · PremiumRAG & Agent System DesignEvery sentence the model writes must link to a source span. Design the citation system. →medium · Free with sign-inRAG & Agent System DesignBuild an agent that works a 500-page document over a long multi-turn session within a 200k-token context. How do you manage memory? →hard · PremiumLLM & GenAI FundamentalsA customer wants to replace their LLM ticket classifier with Jev to cut cost. What changes, and what do you verify before switching? →hard · Premium