[{"data":1,"prerenderedAt":541},["ShallowReactive",2],{"guide-detail-notebooklm-guide":3},{"id":4,"title":5,"body":6,"category":523,"description":524,"difficulty":525,"extension":526,"meta":527,"navigation":528,"path":529,"published":530,"readTime":531,"seo":532,"slug":533,"stem":534,"tags":535,"updated":530,"__hash__":540},"guides\u002Fen\u002Fguides\u002Fnotebooklm-guide.md","NotebookLM: From Zero to Useful in 15 Minutes",{"type":7,"value":8,"toc":502},"minimark",[9,14,18,21,24,28,31,55,58,60,64,67,165,171,173,177,180,195,198,200,204,209,220,230,236,242,246,260,262,266,269,272,286,289,295,297,301,304,324,327,329,333,337,352,356,367,373,375,379,462,468,474,476,480,483,489,491,495],[10,11,13],"h2",{"id":12},"what-is-notebooklm","What Is NotebookLM",[15,16,17],"p",{},"NotebookLM is Google's document-grounded AI assistant. Unlike general chatbots, it confines its answers to sources you provide — PDFs, Google Docs, URLs, YouTube transcripts, or pasted text.",[15,19,20],{},"It uses Gemini under the hood with Retrieval-Augmented Generation (RAG). Every answer includes inline citations pointing to the exact source passage. This makes it practical for research, legal review, and technical documentation work where hallucination risk matters.",[22,23],"hr",{},[10,25,27],{"id":26},"account-setup","Account Setup",[15,29,30],{},"NotebookLM requires a Google account. No paid tier is required for most features.",[32,33,34,45,48],"ol",{},[35,36,37,38],"li",{},"Go to ",[39,40,44],"a",{"href":41,"rel":42},"https:\u002F\u002Fnotebooklm.google.com",[43],"nofollow","notebooklm.google.com",[35,46,47],{},"Sign in with any Google account",[35,49,50,51],{},"Click ",[52,53,54],"strong",{},"New Notebook",[15,56,57],{},"That is the entire setup. No installation, no API keys, no configuration.",[22,59],{},[10,61,63],{"id":62},"source-types","Source Types",[15,65,66],{},"NotebookLM accepts these source formats:",[68,69,70,86],"table",{},[71,72,73],"thead",{},[74,75,76,80,83],"tr",{},[77,78,79],"th",{},"Source Type",[77,81,82],{},"Max Size",[77,84,85],{},"Notes",[87,88,89,101,112,122,133,143,154],"tbody",{},[74,90,91,95,98],{},[92,93,94],"td",{},"PDF",[92,96,97],{},"500 MB per file",[92,99,100],{},"Text PDFs work best; scanned PDFs need OCR",[74,102,103,106,109],{},[92,104,105],{},"Google Docs",[92,107,108],{},"No limit",[92,110,111],{},"Auto-synced when source is updated",[74,113,114,117,119],{},[92,115,116],{},"Google Slides",[92,118,108],{},[92,120,121],{},"Extracts text from slides",[74,123,124,127,130],{},[92,125,126],{},"Web URL",[92,128,129],{},"—",[92,131,132],{},"Fetches page content at upload time",[74,134,135,138,140],{},[92,136,137],{},"YouTube URL",[92,139,129],{},[92,141,142],{},"Uses auto-generated captions",[74,144,145,148,151],{},[92,146,147],{},"Plain text",[92,149,150],{},"500,000 characters",[92,152,153],{},"Paste directly",[74,155,156,159,162],{},[92,157,158],{},"Audio file",[92,160,161],{},"8 hours",[92,163,164],{},"MP3, WAV, M4A",[15,166,167,170],{},[52,168,169],{},"Practical limit per notebook:"," 50 sources, 25 MB text per source (roughly 25,000 pages).",[22,172],{},[10,174,176],{"id":175},"notebook-structure","Notebook Structure",[15,178,179],{},"A notebook has two panels:",[181,182,183,189],"ul",{},[35,184,185,188],{},[52,186,187],{},"Sources panel (left):"," All uploaded documents. Click any source to view it inline. Click the checkbox to include\u002Fexclude it from queries.",[35,190,191,194],{},[52,192,193],{},"Notes panel (right):"," AI-generated or manual notes. These persist between sessions and can be exported.",[15,196,197],{},"The chat interface sits at the bottom. Queries run against all checked sources simultaneously.",[22,199],{},[10,201,203],{"id":202},"asking-effective-questions","Asking Effective Questions",[205,206,208],"h3",{"id":207},"cite-mode-vs-summary-mode","Cite Mode vs Summary Mode",[15,210,211,214,215,219],{},[52,212,213],{},"Cite mode (default):"," Ask specific questions. Answers include ",[216,217,218],"code",{},"[1]"," inline citations.",[221,222,227],"pre",{"className":223,"code":225,"language":226},[224],"language-text","What are the exact system requirements from the installation manual?\nWhat does Section 4.2 say about data retention?\n","text",[216,228,225],{"__ignoreMap":229},"",[15,231,232,235],{},[52,233,234],{},"Summary mode:"," Ask for overviews. Fewer citations, more synthesis.",[221,237,240],{"className":238,"code":239,"language":226},[224],"Summarize the key findings across all three reports.\nWhat are the main arguments the author makes?\n",[216,241,239],{"__ignoreMap":229},[205,243,245],{"id":244},"tips","Tips",[181,247,248,251,254,257],{},[35,249,250],{},"Start with a broad question, then narrow: \"What topics does this cover?\" → \"Tell me more about X.\"",[35,252,253],{},"Ask for comparisons: \"How does the 2024 report differ from the 2023 one?\"",[35,255,256],{},"Ask for gaps: \"What is not addressed in these documents?\"",[35,258,259],{},"Quote specific text to ground your question: \"The doc says 'X'. What does it mean?\"",[22,261],{},[10,263,265],{"id":264},"audio-overview-feature","Audio Overview Feature",[15,267,268],{},"NotebookLM can generate a podcast-style audio overview of your sources. Two AI voices discuss the material in a conversational format.",[15,270,271],{},"To generate:",[32,273,274,280,283],{},[35,275,50,276,279],{},[52,277,278],{},"Audio Overview"," in the toolbar",[35,281,282],{},"Wait 1–2 minutes",[35,284,285],{},"Download as MP3 or listen in-browser",[15,287,288],{},"Audio overviews are ~10–15 minutes. They do not replace a full read but work well for quick orientation to unfamiliar material.",[15,290,291,294],{},[52,292,293],{},"Limitation:"," Audio overviews cannot be regenerated with different voices or styles. If you add new sources, you need to generate a new one.",[22,296],{},[10,298,300],{"id":299},"exporting-notes","Exporting Notes",[15,302,303],{},"Notes created in the notebook can be exported:",[181,305,306,312,318],{},[35,307,308,311],{},[52,309,310],{},"Copy to clipboard:"," Markdown-formatted text",[35,313,314,317],{},[52,315,316],{},"Download as .txt:"," Plain text with note titles",[35,319,320,323],{},[52,321,322],{},"Save to Google Docs:"," Creates a new Doc in your Drive",[15,325,326],{},"Chat history is not exportable. Copy important answers into notes immediately.",[22,328],{},[10,330,332],{"id":331},"privacy-considerations","Privacy Considerations",[205,334,336],{"id":335},"consumer-accounts-personal-google","Consumer accounts (personal Google)",[181,338,339,346,349],{},[35,340,341,342,345],{},"Google states NotebookLM content is ",[52,343,344],{},"not"," used to train models",[35,347,348],{},"Data is retained per Google's standard privacy policy",[35,350,351],{},"Content is accessible to Google's infrastructure",[205,353,355],{"id":354},"google-workspace-accounts-workschool","Google Workspace accounts (work\u002Fschool)",[181,357,358,361,364],{},[35,359,360],{},"Data handling follows your organization's Workspace agreement",[35,362,363],{},"If your organization has disabled NotebookLM, you will not see the option",[35,365,366],{},"Check with your IT admin before uploading confidential material",[15,368,369,372],{},[52,370,371],{},"Rule of thumb:"," Do not upload client contracts, personal health information, or unreleased product details to the consumer tier. Use a local RAG solution for sensitive documents.",[22,374],{},[10,376,378],{"id":377},"notebooklm-vs-local-rag","NotebookLM vs Local RAG",[68,380,381,394],{},[71,382,383],{},[74,384,385,388,391],{},[77,386,387],{},"Factor",[77,389,390],{},"NotebookLM",[77,392,393],{},"Local RAG",[87,395,396,407,418,429,440,451],{},[74,397,398,401,404],{},[92,399,400],{},"Setup time",[92,402,403],{},"2 minutes",[92,405,406],{},"1–4 hours",[74,408,409,412,415],{},[92,410,411],{},"Privacy",[92,413,414],{},"Data on Google servers",[92,416,417],{},"Data stays on device",[74,419,420,423,426],{},[92,421,422],{},"Cost",[92,424,425],{},"Free (consumer)",[92,427,428],{},"Hardware cost only",[74,430,431,434,437],{},[92,432,433],{},"Quality",[92,435,436],{},"Gemini 1.5 \u002F 2.0",[92,438,439],{},"Depends on model",[74,441,442,445,448],{},[92,443,444],{},"Source limits",[92,446,447],{},"50 sources \u002F notebook",[92,449,450],{},"Unlimited",[74,452,453,456,459],{},[92,454,455],{},"Offline use",[92,457,458],{},"No",[92,460,461],{},"Yes",[15,463,464,467],{},[52,465,466],{},"When to use NotebookLM:"," Non-sensitive documents, shared research, quick analysis, Audio Overview.",[15,469,470,473],{},[52,471,472],{},"When to use local RAG:"," Confidential data, air-gapped environments, custom embeddings, high-volume processing.",[22,475],{},[10,477,479],{"id":478},"practical-workflow","Practical Workflow",[15,481,482],{},"For a research project with 10 PDFs:",[221,484,487],{"className":485,"code":486,"language":226},[224],"1. Create notebook: \"Project Alpha Research\"\n2. Upload all PDFs (drag and drop supported)\n3. Generate Audio Overview → listen during commute\n4. Ask: \"What are the main claims in each paper?\"\n5. Ask: \"What evidence supports claim X?\"\n6. Save key passages to Notes\n7. Export Notes → Google Doc → share with team\n",[216,488,486],{"__ignoreMap":229},[22,490],{},[10,492,494],{"id":493},"next-step","Next Step",[15,496,497,498],{},"For sensitive documents that cannot leave your machine, try the local RAG setup on Mac:\n",[39,499,501],{"href":500},"\u002Fen\u002Fguides\u002Flocal-llm-mac","Run Local LLMs on Mac (Apple Silicon)",{"title":229,"searchDepth":503,"depth":504,"links":505},2,3,[506,507,508,509,510,514,515,516,520,521,522],{"id":12,"depth":503,"text":13},{"id":26,"depth":503,"text":27},{"id":62,"depth":503,"text":63},{"id":175,"depth":503,"text":176},{"id":202,"depth":503,"text":203,"children":511},[512,513],{"id":207,"depth":504,"text":208},{"id":244,"depth":504,"text":245},{"id":264,"depth":503,"text":265},{"id":299,"depth":503,"text":300},{"id":331,"depth":503,"text":332,"children":517},[518,519],{"id":335,"depth":504,"text":336},{"id":354,"depth":504,"text":355},{"id":377,"depth":503,"text":378},{"id":478,"depth":503,"text":479},{"id":493,"depth":503,"text":494},"notebooklm","Load your documents into NotebookLM and start getting answers, summaries, and audio overviews immediately.","beginner","md",{},true,"\u002Fen\u002Fguides\u002Fnotebooklm-guide","2026-05-30",14,{"title":5,"description":524},"notebooklm-guide","en\u002Fguides\u002Fnotebooklm-guide",[523,536,537,538,539],"google","rag","productivity","research","TChWLLAETZ22pNF-ULySgKZFgLVJuQ7H3QwZIEp2ZsQ",1781557609815]