Getting your organisation's knowledge into RuNari takes less time than you might expect. This guide walks you through the four steps that matter: signing up, creating a project, importing knowledge, and querying it with AI.

Step 1: Sign Up and Create Your Workspace

Head to runari.net/pricing and choose a plan. The Free plan is a good starting point — it includes 3 members and all core features.

When you sign up, you will be asked to choose a workspace slug: the subdomain that identifies your organisation (e.g., acfc.runari.net). Choose something short and memorable. The slug cannot be changed after provisioning.

Once you complete checkout, your workspace is provisioned automatically — usually within 60 seconds. You will receive a welcome email with your login credentials and a link to your dashboard.

Step 2: Create Your First Project

Log in to your workspace and click New Project in the sidebar. Give it a descriptive name — something like "Season 2026 Analysis" or "Staff Development Knowledge Base".

Projects in RuNari are the unit of organisation. Each project has:

A knowledge base — indexed documents, PDFs, and web pages
Tasks — with assignees, due dates, and dependencies
Courses — structured learning modules built from your knowledge

Start with a project that matches a real work stream your team has already started.

Step 3: Import Your Knowledge

This is where RuNari becomes genuinely useful. On the project page, click Add Knowledge Source and choose one of the import options:

URL crawl — paste a URL and RuNari will crawl and index the page and its sub-pages. Great for internal wikis, public documentation, or your team's Notion export.
File upload — drag and drop PDFs, Word documents, Markdown files, or plain text.
Git repository — connect a GitHub repo and RuNari indexes the documentation automatically. Ideal for technical knowledge bases.

Start with one or two sources. The semantic search works well even with modest amounts of content — you do not need to import everything on day one.

Step 4: Run Your First AI Search

Once your knowledge is indexed (usually under two minutes for small imports), open the Search panel and ask a question in natural language:

"What was our pressing trigger last season?"

"Summarise the key principles from our GPS methodology document."

"What decisions did we make about pre-season fitness testing?"

RuNari uses a hybrid search pipeline — combining vector similarity, full-text matching, and optional reranking — to find the most relevant content and return a grounded answer.

If you are using Claude Code, Cursor, or any MCP-compatible AI tool, you can also connect them directly to your RuNari workspace via the MCP endpoint. Navigate to Settings → MCP Integration to get your connection details.

What to Do Next

Once you have run your first search, here are the highest-value next steps:

Invite your team — add colleagues from Settings → Members. Roles are org-level (admin, member) and can be scoped per project.
Create a course — if you have training materials in your knowledge base, use the Courses module to structure them into lessons with flashcards and quizzes.
Connect your AI tools — wire up the MCP endpoint and let your AI assistants query your knowledge base in real time.

If you have questions at any point, the support team is reachable at hello@runari.net — we respond within one business day.