By capability · RAG for enterprise
RAG for enterprise that grounds every answer in your own content
Retrieval-augmented generation is the right architecture for enterprise AI: ground the model in your real documents so it answers from facts, not guesses, and cite the sources so people can verify. The catch is that building production RAG over a dozen apps, with permissions, connectors and security, is a major engineering project most teams do not want to take on.
One search · cited answers · permission-aware
Ask your company anything
InSearch searches across Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce in one query and returns a written answer with citations, only ever from sources you're allowed to see.
Searching connected apps
WorkingAnswer
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Live, interactive · cited answers
Every answer cited to its source documents · permission-aware · never trains on your data
InSearch is RAG for enterprise, delivered as a product. It connects Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce, retrieves over your real content, and composes a cited answer, with item-level permissions enforced at query time and no training on your data. You get grounded, verifiable answers without building the retrieval pipeline yourself.
Cited to source docs
Permission-aware · never trains on your data
Why it works
What your team gets with rag for enterprise
Grounded by default
Real retrieval over your own content, so answers come from your documents rather than the model's guesses.
Permissions built in
Item-level access controls are enforced at query time, the hard part most home-grown RAG projects skip.
No pipeline to build
Connectors, retrieval, citations and security ship as a product, so you do not engineer it from scratch.
What it handles
One search, a cited answer, scoped to you
InSearch searches across every connected app, checks your permissions, and writes one clear answer with citations back to the exact source documents.
- Retrieves over your real connected content
- Cites every source behind an answer
- Enforces item-level permissions at query time
- Skips the build of a production RAG pipeline
- Never trains on your company data
Written answer
Full-time employees get 20 days of PTO per year plus 10 company holidays1, requested in Workday with manager approval2.
Only sources you can access
Why InSearch
One search across every app, with a cited answer
Not eight separate search boxes, not a wall of blue links. InSearch unifies your apps and returns one written answer with citations, scoped to exactly what you can see.
One search, every app
Drive, Slack, Notion, Confluence, Gmail, Jira and Salesforce searched in a single query, so you stop opening a different search box for each tool.
A cited answer
A written answer in plain language with inline citations back to the exact source docs, so you can trust it and verify it instead of reading a page of links.
Permission-aware
It inherits and enforces each source\'s access controls at query time, so every person only ever sees answers from content they can already open. It never trains on your data.
Good questions
Questions about rag for enterprise
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More ways teams find answers with InSearch
Give your team one place to find every answer.
One search across all your company apps, a clear cited answer, scoped to exactly what each person can see, and never trained on your data.
One search across every app · cited answers · permission-aware · never trains on your data