As a programming tool, Claude Code stands out as an exceptional assistant and has significantly boosted my productivity as an engineer—likely making me several times more efficient.
That said, Claude Code extends far beyond coding tasks. It excels in areas like building presentations—easily generating them through code in languages such as Python or LaTeX. It also handles non-technical work, including managing sales outreach or constructing a knowledge base, which is the focus of this article.
An LLM-driven knowledge base is a game-changer for efficiency, letting you retrieve critical information in seconds. Here, I’ll walk you through setting one up, why it’s worth it, and how to maximize its potential.
Why build an LLM-powered knowledge base
The core reason to create an LLM-powered knowledge base is simple: LLMs perform better with more context. The more information you feed them, the more effectively they tackle your challenges.
Storing everything in a centralized knowledge base is powerful because the LLM can pull from it whenever needed.
I aim to log nearly everything I do in one place, including:
- meetings I attend
- thoughts and ideas
- errors made by my agents and how to fix them
and more.
Before LLMs, maintaining such a vast knowledge base seemed pointless—finding specific details was too time-consuming. For instance, locating a note from a particular meeting meant sifting through transcripts to pinpoint the exact insight you needed.
LLMs changed that overnight, making it possible to access massive amounts of information in seconds. Information became instantly available.
LLMs dramatically increased information accessibility, making knowledge bases far more valuable
In short, an LLM-powered knowledge base lets you retrieve crucial details when you or your coding agent need them most. With LLMs, information is just a query away, so storing extensive context is always worthwhile.
How to build an LLM-powered knowledge base
Now, let’s dive into setting up your own LLM-powered knowledge base. At its core, it’s straightforward: store all your data in a single folder on your computer.
In practice, it takes discipline to consistently save everything there. I’ll guide you through my step-by-step approach, which improved over time as I refined my process for updating and adding information.
Start by using a meeting note-taker that logs key details like attendees, time, meeting name, and context—often pulled from your calendar.
Simply dumping all meeting notes and transcripts into a central folder covers most of the groundwork.
Your knowledge base doesn’t need to be local. Cloud tools like Notion work too, as long as they store text. At its heart, a knowledge base is just a text repository.
Beyond that, I set weekly reminders to add thoughts, lessons, or useful insights to the knowledge base. I avoid overthinking what to include—the priority is capturing it. I prompt Claude Code:
Add
to my knowledge base
Claude Code identifies the best file or folder for the info and saves it automatically.
I also have Claude Code review my daily agent interactions—whether with my personal Claude Code or OpenClaw bots. We discuss successes and failures, and it logs generalizable insights into my knowledge folder for future reference. This runs via a daily cron job.
Your workflow will differ, so focus on storing the knowledge you wish you had. The rule of thumb: capture as much context as possible. Don’t worry about bloat, and automate the process wherever you can.
By “automate,” I mean avoid manual steps like copying meeting notes each time. That’s tedious and easy to forget. Instead, set up a script or flow to handle it for you.
How to use the knowledge base
Previously, I explained how to build a knowledge base and save information within it. The next step is understanding how to actually use that knowledge base day-to-day. There are two main ways I use it.
- Looking up information whenever I need it myself
- Giving Claude Code or other agents access to the data so they can pull from it when working on tasks
Often, I’ll search for something I know I discussed in a meeting or thought about earlier. It’s really frustrating when you can’t find that information. I’ll ask Claude Code to search my knowledge base and get an answer. Even if it doesn’t find an exact match, it often finds related details, which is still helpful.
The second use is letting Claude Code access the knowledge base so it can pull relevant info as needed. For example, if you ask it to do a coding task, there might be useful context in the knowledge base. Or if you’re preparing a presentation, you can look up past ones.
If your knowledge base is in one central folder, make sure Claude Code or your agent can access it.
Also, set up a user-level skill file or claude.md so the agent knows about the knowledge base and how to use it anytime. It’s key that your agent knows about the knowledge base no matter where you’re prompting it from.
Common Mistakes
I also want to point out some easy mistakes when building a knowledge base. The first is letting it get outdated. Information changes—your views might shift, or facts might become old. So, regularly check your knowledge base for outdated info.
This check can be a weekly cron job where Claude Code reviews your recent interactions and compares them to the knowledge base to spot outdated info.
Another mistake is not making the agent aware of the knowledge base in certain folders. If you only mention it in a project-level Claude.md, Claude won’t know about it elsewhere. That’s a problem because it won’t have all the info it needs.
User-level Claude or skill.md files fix this since they’re always loaded, no matter the folder.
Wrapping Up
In this article, I covered building a Claude Code-powered knowledge base. It’s basically a central spot for all your daily info, giving you a big advantage: quick access and search with LLMs. Coding agents are great at searching large data sets, so even big knowledge bases stay fast. I encourage you to set up your own. Save all your daily info there, and use it actively—both for your own searches and to help your agents work better. I think personal knowledge bases with your preferences and info will matter more as agents get stronger.
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