The AI-powered knowledge base platform for scaling technical documentation and customer self-service.
Document360 has evolved into a leading 2026-era Knowledge Management System (KMS), leveraging a sophisticated RAG (Retrieval-Augmented Generation) architecture to bridge the gap between static documentation and interactive AI assistance. Its core engine, 'Eddy', acts as an AI concierge that indexes disparate documentation sources to provide instant, context-aware answers to both internal teams and external customers. The platform is architected for high-growth engineering teams, offering a dual-editor system (Markdown and WYSIWYG) that caters to both technical and non-technical contributors. With a robust versioning system and localization capabilities, it manages complex documentation lifecycles across multiple product versions and languages. In the 2026 market, Document360 distinguishes itself through its 'Knowledge Base Assistant' widget, which embeds the entire documentation repository directly into third-party web applications, significantly reducing support ticket volume through proactive deflection. Its enterprise-grade security, including SOC2 Type II compliance and advanced SSO configurations, makes it a preferred choice for fintech, healthcare, and high-security SaaS providers looking to centralize their intellectual property in a searchable, high-availability environment.
Document360 has evolved into a leading 2026-era Knowledge Management System (KMS), leveraging a sophisticated RAG (Retrieval-Augmented Generation) architecture to bridge the gap between static documentation and interactive AI assistance.
Explore all tools that specialize in ai-powered semantic search. This domain focus ensures Document360 delivers optimized results for this specific requirement.
A RAG-based AI search agent that uses Large Language Models to interpret user queries and generate direct answers from the KB articles.
Variable-based content blocks that can be globally updated from a single source across multiple articles.
An embeddable JS widget that delivers context-aware articles based on the CSS selector or URL path the user is visiting.
Git-style versioning for documentation, allowing simultaneous maintenance of 'Live', 'Beta', and 'Legacy' documentation sets.
Heatmaps and search analytics that track 'no-result' queries to identify documentation gaps.
Machine-translation workflows integrated with human-review gates for managing multi-lingual KB sites.
Integration with Okta, Azure AD, and Pingdom via SAML 2.0 and OpenID Connect.
Create a project workspace and select the primary documentation language.
Configure the sub-domain or map a custom domain with SSL certification.
Choose between the Markdown or WYSIWYG editor for your primary authoring flow.
Set up the Category Manager to establish a logical hierarchy for articles.
Import existing content via PDF, Word, or migration API from legacy systems.
Enable 'Eddy AI' and configure the indexing frequency for the semantic search engine.
Integrate the Knowledge Base Assistant (KBA) via a JavaScript snippet into your application.
Configure SSO (SAML/OpenID) to manage internal team access and permissions.
Set up review reminders and workflow statuses for content lifecycle management.
Publish the first version and monitor analytics for broken links and search gaps.
All Set
Ready to go
Verified feedback from other users.
"Users consistently praise the intuitive UI and the 'Eddy' AI assistant, though some find the per-project pricing model expensive for smaller agencies."
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