back_office_ops · saas · workflow

Slack enterprise search: secure and private RAG-powered search across external apps

Slack needed to extend its AI-powered search beyond internal Slack messages to include content from external applications like Google Drive and GitHub, while maintaining the same enterprise-grade security and privacy guarantees already established for Slack AI.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · User submits search query
Users can surface up-to-date, relevant content that is permissioned to them directly in Slack's search.
Tools used
Slack AIRAGAWSOAuthACL
Outcome

Slack built enterprise search using a federated, real-time approach with OAuth authorization and RAG to surface permissioned external content without storing it, upholding enterprise security and privacy principles.

Source

https://slack.engineering/how-we-built-enterprise-search-to-be-secure-and-private/

How we source this →

Grounding & classification
Source type: technical build writeup
20 fields verified against source quotes.
enterprise searchknowledge searchragknowledge basemetric backedproduction runtime claimedtools describedvendor confirmedworkflow describedsoftwareemployee productivitytechnical build writeupback office opsrag answering