Learn Anything Faster: Save 80% of Your Time with Gemini Deep Research & Obsidian [Guide & Setup]

okay this is an Obsidium Knowledge Graph  automatically created by AI and the map is not the only thing you get we also have a clear  learning road map clearly explained section by section with key Concepts and various articles  and their reference links as well addition to that you will also have an index page that for  you to complete the notes of each key Concepts for me personally I cannot think of any other  ways simpler than this for you to learn a new topic in this video let me show you the  simple setups that could help you get the similar learning road map within 10 minutes Hi friends my name is Tony. I'm an a engineer and tech nerd enthusiastic in productivity hacks I guess you may have seen prompt tricks and tips to ask GPT to teach you something new but how about serious topic research searing and structured learning process with  no applications like obsidian recently I found that combining Google Gemini deep research and  obsidian you can save loads of time to teach yourself any topic today's sharing will include  two major parts that can help you learn anything  faster topic research with Google Gemini  building obsidian Knowledge Graph with AI in cursor okay if you want to learn anything  from scratch the first thing you will do is research relevant learning materials from online  then trying to piece together various fragmented information to create your study guide this will  take you days or even weeks of effort to research but what if I'm telling you that this can be done  in minutes with Google Deep Research so what is deep research? Deep research is a function  that supported in Google Gemini application it is hidden below here okay let me explain  in a slide so traditionally when we um search uh anything online and search engine like Google  will help us search relevant website or if you use perplexity an AI search engine it will look for  website and read relevant materials and picked up for you but that is only the start so imagine um  that you have a smart research assistant that they do not only use Google or Perplexity to complete  their research they also plan how to do the job better so here comes the Deep research it is  an AI agent in information searching so as a user you will ask a question say what is artificial  intelligence then Google Gemini will create a plan first and you as the master will review  the plan to see whether it is good for you or not If you think the plan is good enough it will  follow the research plan search online read the materials and write a report for you to review so  let me show you how to do it say I would like to know everything about the Starship you can simply  ask "I would like to know about Starship of spaceX.

. . " okay so currently the AI behind this is  thinking of a research plan could help you better so oh so we find information about the  SpaceX Starship program including its goals and current status so this is the first research  Target then they will find articles and news report on recent Starship development including  test flights and upcoming Mission then finding information of the technical specs of Starship  the size the capability and find information about potential applications as well and last  but not the least the environmental impacts the potential challenges and risks associated  with Starship as well so the AI create a plan for us if you don't like this plan you may be  edit it as well so I say I will like to edit the plan about so I would like to know about the  Elon Mask's Vision on Starship as well all right so we have an updated the research  plan so at the I think at the last re at the last action point it added fin  information about Elon Mask's vision on Starship the uh the six task above is the  same all right okay now we can click the start so while the Google Gemini is doing deep  research for us it will search online read all the relevant articles and analyze the content  then we'll get back to you a full report for you to review so seeing it's researching for  49 pages okay 60 Pages or even more so if you want to learn any area, any task, any topic you are  interested in this is the perfect tool is that I will let you know when the resch sear is finished  you can leave this chart in the meantime so okay so let's have a quick look at the example I will  use later so if you want to create a learning map from Google Deep Research this is the prompt I  use if I want to learn what is large language model and how can I use large language model be  AI explication would you please create a learning road map for me okay so under this prompt Gemini's  task is not only create a research report but also to write a learning road map for you based on  the research result so at list a research plan for me then write this learning road map.

It is called The Learning road map from Basics to building AI applications it was separate into  sections introduction to large language model there are key Concepts you should know and  the articles that it found relevant and you can definitely click the Articles including  YouTube videos as well you see the videos introduction to large language model Google  cloud and YouTube let's click this see hello and welcome to introduction to large language  mod great all right so if you don't want to read articles you can definitely check those videos  later let's check whether our Starship report is completed okay it's really close great it has been completed okay let's  check the report SpaceX Starship reaching for the stars and Mars with Elon musk's Vision wow  the title is attempting all right say Starship development and test fly um I will leave uh the  link to this article below and you can definitely check this out so let's check how many sections  it have Starship development and test flight recent development uh flight 5 6 7 and upcoming  missions as well so take an example um SpaceX are outlined several key missions for Starship: Orbit  Refueling Demonstration wow Uncruited Lunar Demo wow W this is exciting too all right and you will  have uh those specs of Starship and uh internal designs structure features a lot lot of detailed  information all of this information was actually not make up from um Google's Gemini. it was from  reliable sources you can take a quick look at this they are Wikipedias they have informations from  Starship official website they also use uh Reddit as information Resource as well and of course  we got YouTube videos and NASA report so I I would say um if I when I was a student if I have  a tool like this I would definitely have higher marks of my assignment because this is amazing  you have those multimedia resources from different uh information source and combine together to  create you this single report in just few minutes additionally if you have Google uh drive you can  open in uh docs and you can edit you can export the report as well uh since obsidian use Markdown  format we can you can choose download with markdown okay it is downloaded let's open it and  we have markdown file okay I have already import the learning road map as a markdown file to  the obsidian as you can see that we already have a well researched learning road map but  having a road map is only the beginning that's why we need to use obsidian to help us to learn  so the major reason why I love obsidian is that you can write your note cards each time by  focusing on one concept then you can easily find and build connections between your new nodes  and existing one with time you will have your own personalized Knowledge Graph like this on any  topic you are interested in this idea was made Popular by book "How to Take Smart Notes": Learning by Writing there are loads of great videos on YouTube right now talking about this so I will  not explain that in details but focusing on one paino SLOW yes it works but it will take you a lot  of time to build it up and sometimes when you are facing a sometimes when you are facing a strange  topic or an area you will feel very uncomfortable but you just don't know where to start the best  way is to buying a textbook in our case what we need to do is to extract those knowledge point  from the learning road map and make each one into note cards for us to write learning notes  now this process can be fully automated by AI okay now we use cursor to open up obsidian file  folders Regarding why and how we use use cursor to operate obsidian files you can refer to the  link below you can see that this is the markdown file from obsidian and uh for each section we  will have an Index Note introduce the concept and provide the links to the note card we need  to fill but how can we create it automatically this is the part we need to involve AI all right  so the process is very simple it only involves two steps the first step is to create index  notes and the second step is to create a back link from index noes to the road map what I will  do here is that I will clean I will delete all the files and remove those back links okay uh now now  we only have one road map nodes um in my obsidian folder let's use my prompt to try again this is  a learning road map report I need you to do the following step one based on the learning road map  create a list of markdown files for each topic for each topic file write an introduction and a list  of knowledge Points each knowledge points title should be written in double square bracket  uh you can simply use cloud Sonet 3.