Table of Contents
- Key takeaways
- What is a knowledge base system?
- Knowledge base software vs a knowledge-based system in AI
- What are the parts of a knowledge base system?
- What are the types of knowledge base systems?
- How to choose a knowledge base system
- Knowledge base software compared
- 1. Zendesk: best for a customer help center inside a helpdesk
- 2. Help Scout: best for small teams that want a free help center
- 3. SiteGPT: best AI answer layer that reads your knowledge base
- 4. Notion: best for an internal wiki
- 5. Guru: best for verified, permission-aware enterprise knowledge
- How much does a knowledge base system cost?
- The stack: which tool does which job
- Knowledge-based systems in artificial intelligence
- How a knowledge-based system works
- Types of knowledge-based systems
- How GPT-based knowledge systems differ
- Use-case cheat sheet
- Start with the knowledge base you already have
- Frequently asked questions
- Basics
- What is a knowledge base system?
- What are the types of knowledge base systems?
- What are the characteristics of a knowledge-based system?
- Comparisons
- What is the difference between a knowledge base and a knowledge-based system?
- Is a knowledge base the same as a wiki?
- Is SiteGPT a knowledge base system?
- Pricing
- How much does knowledge base software cost?
- Is there a free knowledge base system?
- AI and chatbots
- Can a chatbot answer questions from a knowledge base?
- What is an internal knowledge base chatbot?
- Sources
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Sep 17, 2023 02:11 AM
A knowledge base system is software that stores an organization's knowledge as searchable articles, so customers or employees can find answers without asking a person.
TL;DR
- A knowledge base system holds articles, FAQs and how-tos in one searchable place. In AI, the term also means a knowledge-based system: a knowledge base plus an inference engine that reasons over rules.
- Pick the type by who reads it. Customers need a help center, employees need an internal wiki, and large or regulated teams need verified, permission-aware knowledge.
- Zendesk fits teams that want the help center inside their helpdesk. Help Scout fits small teams and has a free plan with one Docs site. Notion and Guru cover internal knowledge.
- SiteGPT is not knowledge base software. It is the AI answer layer that reads the knowledge base and answers questions in chat, from $39 a month billed yearly.
- For 5 seats billed yearly, list prices run from $600 a year (Notion Plus) to $3,300 a year (Zendesk Suite Team).
Key takeaways
Tool | Role | Best for | Entry price |
Zendesk | Help center inside a helpdesk | Customer self-service linked to tickets | $55 per agent a month, paid yearly (Suite Team) |
Help Scout | Docs sites inside a shared inbox | Small customer service teams | Free for 5 users and 1 Docs site |
AI answer layer that reads the knowledge base | Answering questions the articles already cover | $39 a month billed yearly, or $59 billed monthly | |
Notion | Internal wiki | Team docs, policies and processes | $10 per seat a month billed yearly (Plus) |
Guru | Verified enterprise knowledge | Permission-aware answers for employees | Custom quote |
What is a knowledge base system?
A knowledge base system is a tool for writing, organizing and finding knowledge in one place. The knowledge is usually a set of articles: FAQs, how-to guides, troubleshooting steps, policies and product documentation.
People reach it two ways. They search it, or they browse it by category. A good knowledge base system answers a question faster than a person can, and it gives the same answer every time.
Knowledge base software vs a knowledge-based system in AI
The phrase has two meanings, and search results mix them. Most buyers mean knowledge base software. Computer science courses mean a knowledge-based system, which is a type of AI program.
Question | Knowledge base software | Knowledge-based system (AI) |
What it stores | Articles, FAQs, how-tos, policies | Facts and if-then rules about one domain |
How it answers | A person searches or browses | An inference engine reasons over the rules |
Main parts | Editor, categories, search, permissions, analytics | Knowledge base, inference engine, user interface |
Examples | Zendesk help center, Help Scout Docs, Notion, Guru | Expert systems such as Dendral, built at Stanford in 1965 |
How you get one | Subscribe to a SaaS tool | Build it for a specialized task |
The rest of this guide covers knowledge base software first. The AI meaning has its own section below.
What are the parts of a knowledge base system?
A knowledge base system has five parts that matter when you compare tools.
- Editor. Writers create and update articles, ideally with drafts, review and version history.
- Structure. Categories, tags and a hierarchy let readers browse instead of guess search terms.
- Search. Keyword or semantic search returns the right article for the words a reader types.
- Permissions. Roles decide who can read, edit and publish each article or space.
- Analytics. Reports show which articles get read and which searches return nothing.
Analytics decide whether the knowledge base improves over time. Each search with no result points to an article that does not exist yet.
What are the types of knowledge base systems?
There are four types of knowledge base systems, sorted by who reads them and how answers are produced.
Type | Who reads it | Typical content | Example tools |
Customer help center | Customers | How-tos, billing, shipping, troubleshooting | Zendesk, Help Scout Docs |
Internal wiki | Employees | Processes, policies, onboarding, specs | Notion, Confluence |
Verified enterprise knowledge | Employees in large or regulated teams | Approved answers with an owner and a review date | Guru |
Knowledge-based system (AI) | A program, then a user | Facts and rules for one domain | Expert systems, custom builds |
An AI answer layer is a fifth piece that sits on top of any of the first three. It reads the articles and answers questions in a chat window, so the reader does not have to search.
How to choose a knowledge base system
To choose a knowledge base system, start with who reads it, then check whether it must connect to a helpdesk, then decide how strict permissions must be. Price comes last. Teams that already run a ticket queue can go straight to the guide on building a help desk knowledge base.
If you need... | Pick... | Why |
A customer help center linked to tickets and live chat | Zendesk | Suite Team includes the knowledge base, AI agents and messaging in one plan |
A free help center for a small team | Help Scout | The Free plan covers 5 users, 1 inbox and 1 Docs site |
Answers in chat from the knowledge base you already have | It trains on your help center, site and files and answers with a route to a person | |
A flexible internal wiki at a low seat price | Notion | Plus is $10 per seat a month billed yearly |
Verified, permission-aware answers for a large workforce | Guru | Verification workflows, SSO, SCIM and HIPAA compliance are on its pricing page |
Rule-based reasoning for one specialized task | A custom knowledge-based system | No subscription tool replaces an inference engine built for the domain |
Knowledge base software compared
These five tools cover the three reader types plus the answer layer. To compare dedicated tools such as Document360 and Confluence on price for a 10-person team, use the knowledge base software comparison. Each one gets a "Best for" label. No tool is best overall.
The ranking uses five criteria:
- Fit for the reader. Customers, employees, or both.
- Helpdesk connection. Whether articles and tickets live in one system.
- Search and AI answers. How a reader gets from a question to an answer.
- Governance. Permissions, verification and compliance options.
- Price transparency. Whether the price is published.
Zendesk ranks first because the main scenario for this query is a customer-facing knowledge base, and Zendesk puts it inside a full helpdesk. SiteGPT ranks third because it is not knowledge base software. It is the layer that answers from one.
1. Zendesk: best for a customer help center inside a helpdesk
Zendesk is customer service software whose Suite plans include ticketing, messaging, live chat, a help center and voice. The knowledge base starts on Suite Team. Teams that want an AI chatbot on top of it can compare options in the guide to AI chatbots for Zendesk.
Key features
- Knowledge base, AI agents and action builder on Suite Team
- Omnichannel routing, messaging, live chat and telephony
- AI agents on every Suite and Support plan, billed by automated resolution
- Admin copilot and writing tools on Suite Professional
Pros
- Articles, tickets and chat live in one system
- AI agents are included on every Suite plan
- 14-day free trial with no credit card
Cons
- The knowledge base is not on Support Team, the $19 plan
- Price scales per agent, plus usage-based AI resolutions
Pricing
Plan | Price per agent a month, paid yearly | Knowledge base |
Support Team | $19 | Not listed |
Suite Team | $55 | Yes |
Suite Professional | $115 | Yes |
Suite Enterprise | Contact sales | Yes |
Rating: 4.3 out of 5 from 7,107 reviews on G2.
Best for: customer service teams that want the help center, tickets and chat in one helpdesk.
2. Help Scout: best for small teams that want a free help center
Help Scout is a shared inbox for customer service with Docs, its knowledge base product, built in. The Free plan includes 5 users, 1 inbox and 1 Docs site, which makes it the lowest-cost way to publish a help center.
Key features
- Docs sites on every plan, with multiple knowledge bases from Standard
- Shared inbox, live chat, SMS, WhatsApp, Instagram and Messenger
- Envoy, an AI assistant that resolves requests for $0.75 per resolution
- HIPAA compliance and SSO on Pro
Pros
- Free plan with a Docs site
- One tool for the inbox and the help center
- Envoy has a 3-month free trial
Cons
- Free covers only 1 inbox and 1 Docs site
- Pro requires at least 10 users
Pricing
Plan | Billed yearly, per user a month | Billed monthly, per user a month | Knowledge base |
Free | $0 | $0 | 1 Docs site, up to 5 users |
Standard | $25 | $30 | Multiple knowledge bases |
Plus | $45 | $54 | Multiple knowledge bases |
Pro | $75 | $90 | Multiple knowledge bases |
Rating: 4.4 out of 5 from 431 reviews on G2.
Best for: small customer service teams that want a free or low-cost help center next to a shared inbox.
3. SiteGPT: best AI answer layer that reads your knowledge base
SiteGPT is an AI chatbot that trains on your existing content and answers questions in a chat widget. It does not replace a knowledge base. It reads the one you have, whether that is a help center, a website, files or a Notion workspace, and answers from it.
Key features
- Trains on website URLs, sitemaps, files and raw text, plus Google Drive, Dropbox, OneDrive, Box, Notion, GitHub and YouTube
- Embeds on a marketing site, inside an app or on a help center
- Escalation to a person, with iOS app alerts when a visitor asks for a human (Growth and above)
- Weekly email digest with the questions the chatbot could not answer (Growth and above)
- Knowledge gaps report with one-click Q&A fixes (Growth and above)
- Auto refresh monthly on Growth, weekly on Scale and daily on Enterprise
- Chat integrations for Slack, Crisp, Freshdesk Messaging and others from Growth, and Zendesk AI Agent from Scale
Pros
- Works with the knowledge base you already have, with no migration
- The unanswered-questions digest shows which article to write next
- 95+ languages
Cons
- No article editor or published help center. You still need knowledge base software.
- No free plan. The 7-day trial requires a credit card.
- Starter has 1 member and manual refresh only
- No Intercom or HubSpot integration today
Pricing
Plan | Billed monthly | Billed yearly | Messages a month | Pages |
$59 a month | $39 a month ($468 a year) | 4,000 GPT-4.1-mini or 400 GPT-4.1 | 1,000 | |
$129 a month | $79 a month ($948 a year) | 10,000 GPT-4.1-mini or 1,000 GPT-4.1 | 10,000 | |
$429 a month | $259 a month ($3,108 a year) | 40,000 GPT-4.1-mini or 4,000 GPT-4.1 | 50,000 | |
Custom | Custom | Custom | Custom |
Rating: 4.9 out of 5 from 12 reviews on G2.
Best for: teams whose customers still ask questions the knowledge base already answers.
4. Notion: best for an internal wiki
Notion is a workspace for docs, wikis and databases that many teams use as an internal knowledge base. Pages can also be published to the web. The guide to AI chatbots for Notion covers how to answer questions from a Notion knowledge base.
Key features
- Pages, databases, wikis and web publishing to Notion-hosted sites
- Verify any page, private teamspaces and SAML SSO on Business
- Notion Agent and Enterprise Search (beta) on Business
- Page history from 7 days on Free to unlimited on Enterprise
Pros
- Low seat price for a flexible wiki
- Free plan for individuals
- Strong for internal processes and specs
Cons
- Not built as a customer help center with ticket links
- Notion Agent needs the Business plan
Pricing
Plan | Billed yearly, per seat a month | Billed monthly, per seat a month |
Free | $0 | $0 |
Plus | $10 | $12 |
Business | $20 | $24 |
Enterprise | Custom | Custom |
Rating: 4.6 out of 5 from 13,882 reviews on G2.
Best for: teams that want one flexible internal wiki for processes, policies and specs.
5. Guru: best for verified, permission-aware enterprise knowledge
Guru is an AI knowledge platform that structures and verifies company knowledge and delivers cited answers where employees work. Guru sells it as a package of platform and expert services, priced by quote.
Key features
- Knowledge Agents with cited, permission-aware answers
- Verification workflows and usage signals
- 100+ integrations, including Slack, Microsoft Teams, Salesforce, Zendesk, Confluence and SharePoint, plus MCP delivery
- SOC 2 Type II, HIPAA and GxP compliance, SSO and SCIM
Pros
- Every answer can carry an owner and a verification state
- Permissions follow the source systems
- Solution engineers help design the knowledge architecture
Cons
- No published price
- Built for large teams, more than a small team needs
Pricing
Plan | Price | What is included |
Enterprise package | Custom quote | Platform, knowledge architecture design, agent tuning, rollout support |
Rating: 4.7 out of 5 from 2,339 reviews on G2.
Best for: large or regulated companies where a wrong internal answer has a compliance cost.
How much does a knowledge base system cost?
A knowledge base system costs $0 to $3,300 a year for a 5-person team at list price, billed yearly. Seat-priced tools grow with headcount, so the gap widens as the team grows.
Tool and plan | Per seat a month, billed yearly | 5 seats for a year | 10 seats for a year |
Help Scout Free | $0 | $0 | Not available (5-user cap) |
Notion Plus | $10 | $600 | $1,200 |
Notion Business | $20 | $1,200 | $2,400 |
Help Scout Standard | $25 | $1,500 | $3,000 |
Zendesk Suite Team | $55 | $3,300 | $6,600 |
Guru | Custom | Custom | Custom |
Billing monthly costs more. Help Scout Standard at $30 a user billed monthly is $1,800 a year for 5 users, $300 (20%) more than yearly billing. Notion Business at $24 billed monthly is $1,440 a year for 5 seats, $240 (20%) more.
An AI answer layer is priced separately. SiteGPT does not charge per seat: Starter is $468 a year billed yearly for 1 member, and Growth is $948 a year for up to 4 members.
The stack: which tool does which job
A complete knowledge setup has three layers: a place to write the knowledge, a place customers or employees read it, and a way to answer questions from it in chat. SiteGPT covers only the third layer.
Layer | Job | Tool |
Authoring | Write, review and version articles | Zendesk, Help Scout Docs, Notion or Guru |
Self-service | Publish articles customers can search and browse | Zendesk help center or Help Scout Docs |
Answer layer | Answer questions in chat from the articles, and hand off to a person | |
Feedback | Show which questions have no article yet | Search analytics in the knowledge base, plus SiteGPT's unanswered-questions digest |
The answer layer only knows what the knowledge base says. A chatbot trained on an outdated article repeats the outdated answer, so the article owner and the refresh schedule matter more than the chatbot. Teams that need a low-cost route can read about putting a chatbot on an existing knowledge base. Technical teams can compare AI chatbots for documentation.
Knowledge-based systems in artificial intelligence
A knowledge-based system in artificial intelligence is a program that reasons over an explicit knowledge base to solve problems in one domain. It has two defining parts: the knowledge base, which holds facts and rules, and the inference engine, which applies them to reach a conclusion.
How a knowledge-based system works
The knowledge base stores domain facts, often as if-then rules. The inference engine runs those rules forward from known facts (forward chaining) or backward from a goal (backward chaining). A user interface collects the inputs and shows the conclusion.
Facts for a classic expert system come from interviews with human experts. Typical tasks are classification, diagnosis, monitoring, design, scheduling and planning.
Types of knowledge-based systems
- Expert systems. Rule-based programs that copy an expert's decisions in one field. The first, Dendral, was built at Stanford in 1965 to analyze chemical compounds.
- Rule-based systems. Programs that apply a set of if-then rules to inputs. Most expert systems are rule-based.
- Case-based reasoning systems. Programs that solve a new problem by finding a similar past case and adapting its solution.
- Retrieval-augmented LLM systems. A large language model retrieves passages from a document store and writes an answer from them. This approach is called retrieval-augmented generation (RAG).
How GPT-based knowledge systems differ
A GPT-based knowledge system has no hand-written rules. It searches a document collection for passages that match the question and has the language model write an answer grounded in them. Grounding lowers the rate of invented answers but does not remove it, and the guide to chatbot hallucinations covers the remaining guardrails.
This is the same design an AI answer layer uses on top of knowledge base software. The quality of the answer still depends on the quality of the articles.
Use-case cheat sheet
Scenario | Pick | Why |
Ecommerce store already on Zendesk | Zendesk help center | Articles and tickets stay in one system |
Three-person startup with no budget | Help Scout Free | 5 users and 1 Docs site at $0 |
Help center exists, but the same questions still arrive by chat | Answers from the existing articles in chat | |
Product team documenting processes and specs | Notion | Flexible pages and databases from $10 a seat billed yearly |
Bank or hospital with strict internal answer rules | Guru | Verification, permissions and HIPAA compliance |
IT team answering employee questions in Slack | Guru, or see the IT support chatbot guide | Permission-aware answers inside chat tools |
Developer docs in a GitHub repository | SiteGPT on top of the docs | Trains on Markdown docs and READMEs from GitHub |
Medical diagnosis support from coded rules | A custom knowledge-based system | Needs an inference engine built for the domain |
Start with the knowledge base you already have
Most teams already have a knowledge base, even if it is a set of help pages or a Notion space. The fastest win is to answer questions from it in chat and to use the unanswered questions as the next articles to write. SiteGPT trains on that content without a migration. Starter costs $59 a month billed monthly, or $39 a month billed yearly, with a 7-day free trial that requires a credit card.
Frequently asked questions
Basics
What is a knowledge base system?
A knowledge base system is software that stores an organization's knowledge as searchable articles. Customers or employees use it to find answers without asking a person.
What are the types of knowledge base systems?
There are four types: customer help centers, internal wikis, verified enterprise knowledge platforms, and knowledge-based systems in AI. An AI answer layer can sit on top of the first three.
What are the characteristics of a knowledge-based system?
A knowledge-based system represents knowledge explicitly in a knowledge base and uses an inference engine to reason over it. It works in one specialized domain and can explain the rules behind a conclusion.
Comparisons
What is the difference between a knowledge base and a knowledge-based system?
A knowledge base is the stored collection of facts or articles. A knowledge-based system adds an inference engine that reasons over the knowledge base to reach conclusions.
Is a knowledge base the same as a wiki?
An internal wiki is one type of knowledge base. A wiki is written for employees, while a customer help center is written for customers.
Is SiteGPT a knowledge base system?
No. SiteGPT is an AI chatbot that reads a knowledge base and answers questions from it in chat. Teams still need a tool such as Zendesk, Help Scout, Notion or Guru to write and publish the articles.
Pricing
How much does knowledge base software cost?
Knowledge base software costs from $0 to $55 per seat a month billed yearly among the tools in this guide. Help Scout Free costs nothing for up to 5 users, and Zendesk Suite Team costs $55 per agent a month paid yearly. Guru quotes custom prices.
Is there a free knowledge base system?
Yes. Help Scout Free includes 1 Docs site for up to 5 users, and Notion has a free plan for individuals.
AI and chatbots
Can a chatbot answer questions from a knowledge base?
Yes. An AI chatbot trained on the knowledge base retrieves the matching articles and writes an answer from them. It should decline and offer a person when no article covers the question.
What is an internal knowledge base chatbot?
An internal knowledge base chatbot answers employee questions from company docs, often inside Slack or Microsoft Teams. Guru and the tools in the IT support chatbot guide are built for this.
Sources
- Checked on 22 October 2026.
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