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Full usage of Grok Lens, through the chat interface, accuracy checker, and quiz tool
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Grok Lens with just the chat interface (studio panel is hidden)
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Adding Grokipedia articles to Grok Lens
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Grok Lens pondering
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Grok Lens utilizing in-text citation for quick and easy source verification
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Grok Lens listing just some of the many, many sources it draws upon
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Grok Lens built in accuracy checker for evaluating its own outputs
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Grok Lens generating a podcast given Grokipedia sources
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Grok Lens creating a study guide from it's Grokipedia sources
Grok Lens is an AI-powered research and learning partner that turns multiple Grokipedia pages into an intelligent, interactive notebook. Instead of searching across scattered and potentially incorrect notes and web pages, you simply search for your article on Grokipedia and Grok Lens build a custom truth seeking AI that is grounded in your materials using RAG architecture and vector DBs.
Once your sources are loaded, you can:
- Ask questions and get answers that cite exactly where they came from.
- Generate audio podcasts, study guides, and flashcards to study
- Create practice quizzes for you to quiz
- Unlike generic chatbots, Grok Lens is focused on your knowledge base. It reduces busywork, surfaces insights you might miss, and helps you move from raw information to polished output much faster, without losing control of truthfulness, accuracy or context.
Grok Lens is built with a Python FastAPI backend along with a Next.js frontend. All LLM/TTS queries are through Grok and the Grok 4.1 Reasoning model. The Grokipedia search and extraction is powered by Selenium. Vector DB embeddings implemented through chromaDB and LangChain.
We want Grok Lens to help students who lack accessible and accurate education to be able to have an equal footing to their peers, and to have an unbiased perspective on the world. Thank you.
Built With
- chromadb
- fastapi
- grok
- grokipedia
- langchain
- next.js
- rag
- selenium
- sqlite
- typescript


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