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Research · Google
Grounded research notebook — chat your sources, get Audio Overviews.
Google's source-grounded research tool — upload docs, PDFs, and links, then ask questions answered only from your material, with citations and shareable Audio Overviews. Powered by Gemini.
Model support
Grounded in your uploaded sources, powered by Gemini.
Where it runs
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Related in Research
Consensus
AI search over 200M+ peer-reviewed papers, with citations.
An academic search engine that runs natural-language questions against a corpus of more than 200 million peer-reviewed papers and synthesizes the findings with inline citations. Its Consensus Meter aggregates how much the studies agree or disagree, and a copilot helps draft literature reviews. Aimed at researchers, students, and clinicians.
AI insight: Its 'Consensus Meter' summarizes whether a body of papers agrees or disagrees on a question, going beyond surfacing individual citations.
Elicit (formerly Ought)
AI research assistant for literature review and evidence synthesis.
Searches, summarizes, and extracts structured data across 125M+ academic papers, with sentence-level citations. Goes beyond chat-over-papers with a guided systematic-review workflow covering search, screening, extraction, and report synthesis. A free Basic plan offers unlimited search and summaries; paid tiers add data-extraction volume and the review pipeline.
AI insight: One of the few research tools with a real systematic-review screening pipeline, benchmarked against Cochrane reviews.
SciSpace
AI research assistant: search, read, and review the literature.
AI workspace for academics that searches a corpus of 280M+ papers, runs literature reviews, and answers questions over PDFs with citations. Adds writing aids like a paraphraser and citation generator. Formerly Typeset.io; introduced agentic 'Deep Review' literature search in 2025. Free Basic tier with paid upgrades.
AI insight: Formerly Typeset.io; pairs a 280M-paper index with agentic 'Deep Review' literature search added in 2025.
Prototype with Gemini — prompts, multimodal, and instant API keys.
Google's free playground for building with Gemini — prompt design, multimodal input, structured output, and one-click export to API code. The fastest way to start building on Gemini.
AI insight: The free front door to the Gemini API — prototype in the browser, then export the exact call as code with one click.
Assaf Elovic / Tavily
Autonomous AI agent that runs deep multi-source web research and writes cited reports.
An open-source autonomous research agent that plans a task, runs parallel multi-source web searches, validates sources, and synthesizes a cited report. It runs locally as a Python package, FastAPI server, or MCP server, and works with any LLM provider plus a search/retriever backend. Free and Apache-2.0 licensed — you only pay your own LLM and search-API costs.
AI insight: An open-source take on 'deep research' — it fans out parallel searches and cites sources, runnable as a library or an MCP server.
Khoj AI
Open-source AI second brain that chats with your docs and the web, local or hosted.
An open-source "AI second brain" for chatting with local or online models, searching across your personal documents and the internet, building custom agents, and automating research. Self-host it on your own machine, or use plugins for Obsidian, Emacs, desktop, and mobile. Licensed AGPL-3.0; a paid managed cloud tier also exists, so it's freemium.
AI insight: Lives inside the tools you already use — Obsidian, Emacs, desktop, mobile — as an AGPL second brain over your notes and the web.
Andrej Karpathy
Personalized arxiv reader by Andrej Karpathy.
Tag-and-track arxiv papers without drowning in the firehose. Train it on the topics you follow — edge inference, multi-agent harnesses, memory architectures — and it builds a personal feed.
AI insight: Karpathy's own tool, open-source and self-hostable — a tag-trained recommender that tames the arXiv firehose into a personal feed.
Hugging Face
Models, datasets, papers, spaces. The AI research commons.
Source-of-truth for open-weights models and datasets. Daily-paper feed for tracking research; Spaces for trying ideas without setting up infra. The default home for any model not behind a paid API.
AI insight: One account spans model weights, datasets, runnable Spaces, and a daily papers feed — the closest thing to a commons for open AI.