Obsidian & AI: A Clunky Mess or Worth the Effort?
AI in Obsidian isn't as perfect as the hype suggests—it's a complex setup that demands patience for true data control.
I once wiped my entire Notion account to move all my notes to Obsidian, convinced that simply plugging in an AI API would instantly grant me a perfect “second brain.” The reality was much harsher.
🧠 The Truth About Embedding AI into Local Notes
By default, Obsidian is a pure-text, offline note-taking app. When you cram AI into it via third-party plugins, you are forcing a static system to constantly communicate with Large Language Models (LLMs).
The only real motivation for an average person to endure this complexity is privacy. You don’t want your journals, business ideas, or project drafts being used by tech giants to train their models. You want everything tucked away on your hard drive, with AI acting only like a hired contractor who comes over to clean up and leaves as soon as the job is done.
⚠️ Why This Setup Might Drive You Crazy
I used to think I could just throw all my “junk text” into the vault and let AI queries handle the rest. But after three months of real-world use, it turns out AI only returns gibberish if your folder structure is a mess. You cannot mask laziness with algorithms.
A Disastrous UI/UX Experience
Obsidian AI plugins are usually developed by independent programmers. As a result, the interfaces are often quite ugly. Chatting with an AI in a tiny, cramped panel on the right side of the screen feels very claustrophobic. It is never as smooth as the native interface of Gemini 1.5 Pro or ChatGPT. Every time Obsidian updates, you’re left worrying that your plugins might crash.
Vector Database Issues
For AI to understand your entire vault, plugins must create a local vector database. When your vault exceeds 2,000 files, this indexing process becomes a massive CPU hog. Your laptop fans will scream like a tractor engine every time you type a new line of text.
✅ Rare Saving Graces
To compensate for the clunkiness and overhead, you gain absolute power over your system.
No Ecosystem Lock-in
Is GPT-5.2 the smartest model today? Just plug in the API key and use it. Next week, Anthropic drops a new model and you’re weighing Sonnet 4 hay Opus 4? Chọn đúng AI, không phí tiền? All you have to do is change one line of text in the settings. Your data stays exactly where it is—no exporting or migrating required. This freedom is something Notion AI or Evernote will never give you.
Great books on this topic
🛒 Check Price & Buy Now on Tiki →* Affiliate link — no extra cost to you
⚖️ Quick Comparison: Obsidian AI vs Notion AI
| Criteria | Obsidian + API | Notion AI | Notes |
|---|---|---|---|
| Security | Absolute (Local files) | Dependent on Notion servers | Obsidian wins hands down. |
| Smoothness (UX) | 3/10 (Very raw) | 9/10 (Deeply integrated) | Notion is the clear winner. |
| Cost | Pay-as-you-go (~$2-$5/mo) | $10/month (Fixed) | Obsidian is cheaper for light use. |
| Customization | Infinite | Very limited | Switch AI models freely on Obsidian. |
🛠️ How I “Make the Best” of This System
If you’re still stubborn enough to try, here is how to minimize the pain for beginners:
- Limit the Number of Plugins: Don’t install everything you see on the forums. I stick to Smart Connections for semantic search and Text Generator for creating content from templates.
- Standardize Your Prompts: Don’t retype your requests every day. Create a dedicated folder for templates. Reread the post Prompt Engineering: Đừng Thần Thánh Hoá Nó to learn how to write concise commands. (I know categorizing every template sounds OCD, but trust me, it saves you hours every week).
- Choose Lightweight Models for Small Tasks: You don’t need to pull out GPT-4o just to fix a typo. Using Claude Sonnet 3.5 via API is more than enough for standard text files—it’s both fast and cheap.
❓ Frequently Asked Questions
What is the actual monthly cost?
I write quite a bit, but my API costs rarely exceed $4/month. Paying exactly for the tokens you use is much cheaper than “donating” $20/month for Plus plans.
Can I run Local AI (without internet)?
Yes, by using LM Studio combined with a compact model like Llama 3. However, your machine needs at least 32GB of RAM to run smoothly, and the answers are often quite naive compared to calling APIs from the giants.
Does it sync with mobile?
Yes, but it’s extremely cumbersome. You have to set up vault syncing via GitHub, then pray that the AI plugins don’t conflict with the mobile version. I usually only use my phone for reading, not for using AI.
🎯 Final Thoughts
Managing knowledge with Obsidian combined with AI is exactly like building a custom car in your garage. It’s noisy, it breaks down occasionally, and the interface is rugged. But when you hit the keys, you know exactly where your data is going and how it’s being processed.
If you’re obsessed with privacy and hate being boxed in, the trade-off is worth it. But if you just want to open an app and get straight to work? Skip it—this system will only waste your time.
You might also like
Quitting the Corporate Path for Solo Dev: Reality Check
Trading a Senior role for indie building isn't the rosy dream social media makes it out to be.
Reading with AI: Faster, but Hollow?
AI summaries save time, but at the cost of destroying the soul of the reading experience.
Cursor vs GitHub Copilot: Don't Just Follow the Hype
A real-world comparison to find which AI tool truly speeds up your workflow without compromising your coding logic.