Slab is a hosted knowledge base built for team posts. OfficeDocs is a self-hosted document suite. Where each one fits and how to choose.
Slab and OfficeDocs both describe themselves in terms of team knowledge, and the overlap is narrower than the labelling suggests.
Slab is built around the post — a structured document designed for internal knowledge sharing, with topics, search and integrations at the centre. OfficeDocs is built around the file — a document, spreadsheet, presentation, form or table with a full collaborative editor.
The distinction is the same one that separates a wiki from a document suite, and it decides most evaluations.
OfficeDocs in numbers
OfficeDocs is a self-hosted document collaboration suite for real-time docs, writers, spreadsheets, presentations, forms and tables, with configurable AI agents built into every product, deployed into a private cloud you control.
Free plan
5 users
Team plan
$5 per user per month
Annual billing
20% off
Deployment
single-node or high-availability Kubernetes
01
What Slab is good at
Knowledge-first structure. Topics, posts and a unified search that treats the knowledge base as the primary artefact rather than an accumulation of files.
Publishing discipline. Slab encourages posts to be written, reviewed and published, which produces more consistently useful internal documentation than an open file structure usually does.
Search quality. Search is the core of the product rather than a feature bolted onto a file library, and it shows.
Integrations. Connections into the tools teams already use for chat, issue tracking and support, so knowledge can be surfaced where questions get asked.
A clean, focused editor. Little to configure, quick to use, low training burden.
If your need is an internal knowledge base that people actually read, Slab is a credible answer and a focused one.
Figure 1. The first column benefits from publishing discipline. The second benefits from format fidelity and access control. Few products are good at both.
02
Where the fit breaks down
Structured files. A quarterly financial model, a campaign deck, a data-collection form and a project tracker are not posts. Slab will store an attachment; it will not collaborate on the file.
Content that leaves the organisation. Slab is a hosted service. Documents shared externally, client material and regulated content raise the sovereignty questions that a hosted knowledge base cannot answer by configuration.
AI on your own terms. The inference path in a hosted product is the vendor’s. If the requirement is that document text reaches only an endpoint you nominate, that is an architectural constraint rather than a setting.
External collaboration. Knowledge bases are usually inward-facing. When you need to share a document with a client, a partner or a regulator, the model starts to strain.
The requirement is an internal knowledge base, and nothing else.
You want the fastest path to a searchable, well-structured body of internal documentation.
Hosting and data flow are unconstrained.
The team is small and operations capacity is limited.
OfficeDocs when:
The work product is documents, spreadsheets and presentations rather than posts.
Content, or the AI context derived from it, must stay inside your network.
External sharing and file exchange are part of the workflow.
You need upgrade control or a validated deployment.
05
The pattern that works
These two are complementary more often than they are alternatives, and the split is easy to justify.
A knowledge base earns its place when content is reference material that people look up: how we do things, who owns what, what the policy says. That content is relatively stable and benefits from publishing discipline.
A document suite earns its place when content is work in progress: the brief, the model, the deck, the contract. That content is versioned, reviewed and often shared outside the team.
Running both means deciding which is authoritative for which class of content, and writing that down. The most common failure is not choosing badly but leaving the boundary undefined, so teams duplicate material and stop trusting either system.
If you do consolidate onto one, be explicit about which content suffers. Moving a genuine knowledge base into a file structure costs you search quality and publishing discipline. Moving work product into a post format costs you the spreadsheet and the review workflow.
06
The publishing discipline question
Slab’s strongest structural advantage is not a feature. It is that a post-centric model encourages content to be written, reviewed and published, whereas a file-based workspace tends to accumulate documents without anyone deciding that they are authoritative.
That difference produces measurably better internal documentation over time, and it is worth being honest that a document suite does not replicate it. If your problem is that nobody can find the current version of anything, a publishing-oriented knowledge base addresses the cause. A file structure addresses the symptom.
The counter-argument is that publishing discipline is a practice, not a product. Organisations do run well-maintained document workspaces, using conventions — a dated archive folder, an owner column, a policy that superseded documents move rather than linger. It requires more discipline than a tool that enforces publishing states, and it is achievable.
If you are choosing a document suite and you have a real knowledge-management problem, the honest recommendation is to pair it with explicit conventions from day one: a naming standard, a defined archive location, and a rule about who marks something as current. Without those, a file workspace decays into a folder nobody trusts, and the tool gets blamed for a process failure.
Figure 2. If most of your content stops at step one, an internal knowledge base is a smaller and simpler tool. If a meaningful share reaches step three, the requirements change.
07
What “internal” versus “external” changes
One distinction worth drawing explicitly, because it cuts across the whole comparison.
Knowledge base content is usually internal: it is read by employees, it changes slowly, and its audience is bounded by the directory.
Work product is usually both: a brief starts internal and gets shared with a partner, a model informs a client conversation, a contract goes to a counterparty. That external leg is where hosted knowledge tools strain and where file-format fidelity, permission granularity on export and guest access with expiry start to matter.
If most of your content never leaves the organisation, an internal knowledge base is a smaller, simpler tool and may be the better one. If a meaningful share crosses the boundary, the requirements change and so does the shortlist — which is usually where a self-hosted suite enters the picture.
08
Evaluating
List your ten most-used internal artefacts. Mark each as reference material or work in progress.
Count them. The split between the two columns usually suggests the answer.
Test search on both with the same five queries from your own corpus.
Test the structured-file case. A model or deck that people actually collaborate on.
Map the data handling requirement. Hosted or self-hosted is an architectural question, not a preference.
Check the AI path. See the AI agents checklist for the questions that matter.
