Step‑by‑Step Guide to Building an AI‑Powered Knowledge Base with Obsidian, Claude Code, and Claudian

Tool Setup

Obsidian installation

Obsidian is a local‑first note‑taking app. Download from https://obsidian.md/download, install on Windows/macOS/Linux, and create a vault in a folder (cloud‑synced folder optional).

Recommended community plugins:

Web Clipper – saves web pages as clean Markdown.

Local Image Plus – downloads images to a designated attachment folder.

Claude Code

Command‑line AI tool that can read, write and update files in the vault.

System requirements: Node.js 18+, npm, Anthropic API key or Claude Pro subscription.

# Install Node.js (LTS)
# Verify installation
node --version
npm --version

# Install Claude Code globally
npm install -g @anthropic-ai/claude-code

# Verify installation
claude --version

Configure API (optional third‑party endpoint):

export ANTHROPIC_BASE_URL="https://your-api-provider.com"
export ANTHROPIC_API_KEY="your-api-key-here"

Use cc switch to change model or provider.

Claudian plugin

Graphical bridge for Claude Code inside Obsidian.

Installation via BRAT:

Disable safe mode in Obsidian Settings → Community plugins.

Install the “BRAT” plugin.

Open BRAT panel, choose “Add a beta plugin for testing”, paste https://github.com/YishenTu/claudian, confirm and enable Claudian.

Click the Claudian icon on the right sidebar to open its panel.

Karpathy‑style knowledge base

Core idea

Instead of vector databases and RAG pipelines, let the LLM read and write Markdown files directly. For a personal vault of ~100 articles (~400 k words), LLM‑maintained summary files give retrieval quality comparable to vector search while remaining simple.

Four‑phase workflow

Ingest – collect raw material with Obsidian Web Clipper.

Compile – LLM generates per‑article summaries, extracts concepts, and updates index files.

Query – ask natural‑language questions or search.

Lint – run periodic health checks and update the knowledge base.

Directory layout

knowledge-vault/
├── raw/                # original material (append‑only)
│   ├── articles/
│   ├── podcasts/
│   └── papers/
├── wiki/               # compiled artefacts (LLM‑maintained)
│   ├── indexes/       # All‑Sources.md, All‑Concepts.md
│   ├── concepts/      # one concept per file
│   └── summaries/     # per‑article summaries
├── outputs/            # runtime output
│   ├── qa/
│   └── health/
├── blog/
├── brain/
└── .claude/commands/  # custom Claude Code commands

Analogy: raw/ ≈ src/, wiki/ ≈ build/, outputs/ ≈ logs/.

Using Claudian

Ingest example

# Steps
1. Save a web page with Obsidian Web Clipper to raw/articles/
or run in Claudian:
   /ingest https://example.com/some-article

Claude extracts the page, converts to Markdown, stores it, and updates the index.

Compile example

/compile

Claude:
✅ scans raw/ for uncompiled material
✅ creates summaries → wiki/summaries/
✅ extracts concepts → wiki/concepts/
✅ updates indexes → All‑Sources.md, All‑Concepts.md
✅ creates cross‑links

Query example

# Natural‑language question
@wiki/indexes/All-Concepts.md
Please summarize all material about "Transformer architecture" and identify relationships between the papers.

Lint example

/lint

Claude:
🔍 detects inconsistent information
📝 adds missing cross‑links
💡 suggests new research directions
🗑️ marks outdated content

Comparison with manual knowledge management

Organization time : 30–60 min per article manually vs. < 1 min automatically.

Consistency : variable manually vs. high with AI.

Cross‑linking : often omitted manually vs. automatically created.

Retrieval : keyword search vs. natural‑language Q&A.

Scalability : breaks after ~100 articles vs. handles 1 000+.

Maintenance cost : ongoing manual effort vs. periodic linting.

Advanced tips

Custom Claude Code commands

Create a file under .claude/commands/, e.g. blog.md:

---
description: "Generate a 2000‑word blog draft from the current knowledge base"
---

1. Read the current conversation context
2. Query wiki/indexes/All-Concepts.md
3. Produce a 2000‑word draft
4. Include reference links
5. Write the output to the blog/ folder

Templates

Place reusable Markdown templates in a templates/ folder for concepts, summaries and blog posts.

Multiple vaults

Separate vaults can be created for distinct projects, e.g.:

~/knowledge/
├── ai-research/          # AI research knowledge base
├── product-management/   # Product management knowledge base
└── personal-development/ # Personal growth knowledge base