PandaWiki
Open-source, LLM-driven knowledge base for docs, FAQs and blogs with AI Q&A and search
Overview
PandaWiki is an open-source, AI-powered knowledge-base system developed by Chaitin (长亭). It helps teams build product documentation, technical docs, FAQs and blogs, with LLM-driven AI creation, AI Q&A and semantic search via vector retrieval and RAG. It ingests content from web pages, RSS and files, supports rich-text editing, multi-format export, embeddable widgets and SDKs, and is self-hosted via Docker under the AGPL-3.0 licence.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 4 Jun 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
ASEAN Perspective
PandaWiki in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
PandaWiki is a practical open-source choice for teams that want a self-hosted, AI-native documentation and FAQ system without committing to a SaaS vendor or sending content to a single model provider. The RAG-backed search and embeddable widget make it useful both for internal knowledge and public help centres.
Being open-source and Docker-deployable, it travels well to ASEAN teams regardless of region, though the docs are primarily Chinese and you bring your own model and hosting. The AGPL-3.0 licence is worth noting for organisations that plan to modify and offer it as a service.
About this listing
This entry was compiled from publicly available data including PandaWiki's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with PandaWiki unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to PandaWiki directly →
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