Unlock the knowledge trapped in Slack conversations. Search across channels, threads, and shared files with AI that understands context.
Every message and threaded reply is indexed with full conversational context. ZenSearch understands which messages are part of the same discussion.
Files shared in Slack channels — PDFs, images, spreadsheets, and documents — are extracted, parsed, and made searchable alongside the conversation.
Configure sync windows to index recent conversations or your full history. Filter by date range to control what enters your search index.
Message reactions are captured as relevance signals. Highly-reacted messages surface with higher priority in search results.
Choose which public and private channels to index. Exclude noisy channels like #random while indexing high-value channels like #engineering-decisions.
New messages are picked up automatically on each sync cycle. Deleted messages and edited content are reflected in the index.
Authenticate your account and select the resources to index. ZenSearch handles OAuth, API keys, and enterprise SSO.
ZenSearch parses, chunks, and vectorizes your content. Incremental sync keeps everything up to date automatically.
Your team searches across all connected sources with AI-powered semantic search, chat, and agents.
Once Slack is connected, your team can ask natural-language questions and get cited answers instantly.
“What was the consensus on the new pricing model?”
ZenSearch surfaces the relevant thread from #product-strategy where the team discussed and agreed on the pricing change, with links to the original messages.
“Who shared the Q3 sales deck last month?”
Finds the file share event and the surrounding conversation, so you get both the document and the context around why it was shared.
“What workarounds did the team use for the auth timeout bug?”
Aggregates messages from #engineering and #support where team members described their workarounds, returning a synthesized answer with citations.