Knowledge Base

The project includes a structured knowledge base for AI agents and programmatic access.

Files

JSON Format

output/knowledge_base.json - Structured data for AI consumption

[
  {
    "url": "/getting-started/sns/course-introduction/",
    "title": "Course Introduction",
    "category": "getting-started",
    "content": "Full page content..."
  }
]

Markdown Format

output/knowledge_base.md - Human-readable full-text version

---

Schema

Field	Type	Description
url	string	Page URL path
title	string	Page title
category	string	Top-level category
content	string	Extracted text content

---

Statistics

• Total Pages: 177
• Categories: 12
• Content Size: ~870KB (JSON)

---

Usage

Python Example

import json

with open('output/knowledge_base.json') as f:
    kb = json.load(f)

# Search for content
for page in kb:
    if 'server' in page['content'].lower():
        print(f"{page['title']}: {page['url']}")

AI Agent Integration

# Use with Ollama or similar
import json

with open('output/knowledge_base.json') as f:
    kb = json.load(f)

# Create context for LLM
context = "\n\n".join([
    f"## {p['title']}\n{p['content'][:1000]}"
    for p in kb[:10]
])

---

Categories

Category	Pages
getting-started	6
week-by-week	10
infrastructure-fundamentals	26
application	3
it-security	12
exercises	45
tutorials	20
presentations	5
mini-lectures	4
cheat-sheets	4
project-templates	6
other	42