Cloud Native 6 min read

Build Your Own AI‑Powered Knowledge Base with PandaWiki – Step‑by‑Step Guide

This article introduces the open‑source PandaWiki knowledge‑base system, outlines its AI‑driven features, details installation requirements and Docker‑based setup, and walks you through post‑install configuration, document import, and using its intelligent search and Q&A capabilities.

Architect's Guide
Architect's Guide
Architect's Guide
Build Your Own AI‑Powered Knowledge Base with PandaWiki – Step‑by‑Step Guide

What is PandaWiki?

PandaWiki is an AI‑driven open‑source knowledge‑base platform from Chaitin Technology that helps you quickly build intelligent product documentation, technical docs, FAQs, and blogs, offering AI creation, Q&A, and search capabilities.

AI‑driven intelligence: AI‑assisted creation, Q&A, and search.

Powerful rich‑text editor: supports Markdown and HTML, export to Word, PDF, Markdown, etc.

Easy third‑party integration: can be embedded as a web widget or used as a chatbot in DingTalk, Feishu, WeChat Work, etc.

Import content from various sources: web URLs, site sitemaps, RSS feeds, offline files, and more.

PandaWiki is fully open source and has accumulated 5.9K stars on GitHub.

Open‑source address: https://github.com/chaitin/PandaWiki

Installation Requirements

System Requirements

Operating System: Linux

CPU Architecture: x86_64

Software Dependency: Docker 20.10.14 or newer

Software Dependency: Docker Compose 2.0.0 or newer

Recommended Resources: 1 CPU core / 4 GB RAM / 20 GB disk

Minimum Resources: 1 CPU core / 2 GB RAM / 5 GB disk

How to Install

Installation is straightforward on a Linux system that supports Docker 20.x or later. First, log in as root on your server and run the following single command; the system will automatically download and install PandaWiki.

bash -c "$(curl -fsSLk https://release.baizhi.cloud/panda-wiki/manager.sh)"

The installation takes a few minutes. After the command finishes, the terminal displays the access URL, username, and password.

Open the URL in a browser, log in with the provided credentials, and then configure the AI model API to enable AI features.

After configuring the API, the system prompts you to create a Wiki site. Enter a site name and the Wiki is created instantly.

Once the site is created, you can import documents using various methods. The article demonstrates importing offline files, which uploads all local files to the newly created Wiki.

After a successful import, the uploaded files appear in the backend, and AI functions such as intelligent Q&A, semantic search, recommendation, and summary generation become available.

Final Thoughts

PandaWiki is a solid, enterprise‑grade open‑source knowledge‑base tool that is especially suitable for team collaboration. If you find the project useful, consider starring the repository to support the development of domestic open‑source software.

DockerAIknowledge managementKnowledge BasePandaWiki
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