Key takeaways
A knowledge base is a self-serve online library of information about a product, service, or topic. It collects articles, FAQs, how-to guides, troubleshooting docs, and glossaries in one place so people find answers without contacting support.
There are two types worth knowing. An external knowledge base faces your customers and holds product help, setup guides, and troubleshooting. An internal knowledge base faces your team and holds processes, onboarding docs, and policies. Most B2B companies run both.
Inside either type, articles tend to fall into a handful of formats:
Helply's free helpdesk includes a knowledge base at no cost, so the structure below is something any team can stand up without a new line item.
Look at enough great examples and the pattern is hard to miss. The polish varies, but the fundamentals don't. Six traits show up again and again:
Hold these six in mind as you read the examples. Every one below does most of them well.
These 14 knowledge base examples span developer docs, B2B SaaS, and consumer brands. For each one, here's what's worth taking back to your own help center.
These are the benchmarks if you sell a technical product to knowledgeable customers. Depth and accuracy beat polish.
Stripe is the docs standard most developer teams measure themselves against. What to steal: live code samples next to every concept, language toggles so readers see examples in their stack, and versioned docs so older integrations still find accurate guidance.
Twilio splits its content by reader intent. What to steal: a clean separation between quickstarts (for people who want to ship today) and full API reference (for people who need every parameter), so each reader lands in the right depth.
AWS goes as deep as a technical audience will ever need. What to steal: exhaustive documentation, command-line examples for people who prefer the terminal, and a clear path to escalate when an article isn't enough.
ReadMe-built docs show what interactive documentation looks like. What to steal: docs that let developers test calls inline and see real responses, which turns reading into doing.
Notion blurs the line between a help center and a template gallery. What to steal: pairing how-to articles with ready-to-use templates, so customers don't just learn the feature, they start using it.
Slack keeps a complex product feeling simple. What to steal: a clean, distraction-free design, step-by-step guides with no guesswork, and search that suggests answers as you type.
Asana is built for people who learn by doing. What to steal: interactive tutorials, a genuinely mobile-friendly layout, and search strong enough that you rarely need to browse categories.
HubSpot treats education as part of support. What to steal: a deep video library for visual learners and well-structured categories that keep a huge catalog navigable.
Airtable helps customers past a real learning curve. What to steal: real-world use cases that show new ways to apply the product, plus API docs with copy-ready code snippets.
The B2C giants win on experience design, and those lessons travel.
Canva is visual-first, which fits a visual product. What to steal: GIFs and short videos for nearly every task, written for someone who has never opened a design tool.
Spotify is built around finding answers fast. What to steal: a search-first homepage and on-brand simplicity that points users straight to popular topics.
Airbnb serves two very different audiences at once. What to steal: clearly separated paths for hosts and guests, so each role sees only what's relevant to them.
Shopify is a goldmine of detailed, practical help. What to steal: thorough guides, embedded video and GIFs, and a direct link to live support when an article falls short.
Square writes for busy operators, not engineers. What to steal: a search-first homepage, plain-English guides, and article feedback forms that quietly improve the content over time.
| Example | Type | B2C / B2B | What to steal |
|---|---|---|---|
| Stripe | External | B2B / dev | Live code samples, versioned docs |
| Twilio | External | B2B / dev | Quickstarts split from full API reference |
| AWS | External | B2B / dev | Deep docs plus command-line examples |
| ReadMe-built docs | External | B2B / dev | Interactive, test-as-you-read documentation |
| Notion | External + internal | B2B | Help articles paired with templates |
| Slack | External | B2B | Clean design, predictive search |
| Asana | External | B2B | Interactive tutorials, mobile-friendly |
| HubSpot | External | B2B | Deep video library, clear categories |
| Airtable | External | B2B | Use cases plus API code snippets |
| Canva | External | B2C / SaaS | Visual-first, beginner-friendly |
| Spotify | External | B2C | Search-first homepage |
| Airbnb | External | B2C | Role-based paths (host vs. guest) |
| Shopify | External | B2B / SMB | Detailed guides, embedded video, live-support link |
| Square | External | B2B / SMB | Plain English, article feedback forms |
Customer-facing help gets the attention, but internal knowledge bases save just as many hours. A few patterns work well.
A team wiki (think a Notion or Confluence workspace) becomes the single source of truth for how your company operates. An onboarding runbook gets new hires productive without pulling a senior teammate into the same walkthrough every month.
An IT and HR self-serve hub answers the repeat questions about access, policies, and benefits that otherwise flood internal channels.
The test for an internal knowledge base is simple. If the same question keeps landing in a team Slack channel, it belongs in the wiki.
Helply's support intelligence lets you query that history in plain language, so the answer surfaces even before someone writes the article.
Here's where most knowledge base examples are about to date themselves. Almost every help center you just read about is a set of static pages, written by hand, updated when someone remembers. The 2026 version works differently.
First, articles get drafted from real tickets instead of a blank page. When the same question shows up across enough conversations, AI turns the resolution into a draft article a human can review and publish. Helply prices this at $2.99 per article, so the cost maps directly to content you actually needed.
Second, the gaps find you. Instead of guessing what's missing, AI flags the recurring questions that have no article behind them.
Helply charges $0.50 per knowledge gap identified, which turns "we should audit the help center someday" into a steady, automatic signal.
Third, the knowledge base stops being a destination and becomes an engine. The same content powers an AI agent that answers in chat and email, so a strong article doesn't just sit there waiting to be found, it actively resolves tickets.
That's the shift: from a static archive someone maintains to a living system that drafts and improves itself. You can see how the auto-drafting and gap detection work on Helply's knowledge base page.
You don't need a six-month project. You need a tight first version and a habit of improving it.
The best knowledge base examples win on the fundamentals: search that works, a structure you can scan, plain language, and visuals. The B2B leaders add depth for technical customers.
And in 2026, the teams pulling ahead make the knowledge base AI-native, drafting articles from tickets and closing gaps automatically instead of letting content rot.
That's the difference between a help center that sits still and one that keeps cutting tickets on its own.
To see how AI drafts help articles from your tickets and flags the gaps before they pile up, request access to Helply.
It's a self-serve library of help content, like Stripe's developer docs or Spotify's help center, where users find answers without contacting support.
External (customer-facing help centers) and internal (team-facing wikis and runbooks), and most B2B companies run both.
FAQs, step-by-step guides, troubleshooting articles, product and feature overviews, and a glossary, all behind a strong search bar.
Working search, clear structure, plain language, helpful visuals, a feedback loop, and content that's kept current.
An internal knowledge base serves employees with processes and onboarding, while an external one serves customers with product help and troubleshooting.
An AI knowledge base drafts articles from recurring tickets, flags missing content automatically, and powers an AI agent that answers customer questions directly.