Grapevine
In-house GPT for team knowledge searchAsk your team's tools and get sourced answers
Highlights
What you can do with it
- Answer cross-team questions without digging through channels
- Find documentation and code context in one query
- Reduce repeated questions to the infrastructure team
How to use it
- 1 Connect your team tools and set up the Slack bot.
- 2 Start asking questions in Slack.
- 3 Let the historical context build as you use it.
- 4 Keep using it as it learns and improves.
Who it is for
Pros
- Answers cite their sources, so you can verify
- Setup is described as completable within 30 minutes
- Security claims include encryption, isolation, and SOC II
- Free to start
Limitations
- Free starting terms and later pricing are not detailed
- Indexing company data is a significant trust decision; review the security terms
- Answer accuracy depends on how well your data is organized
- It answers from your data, so gaps in documentation show up as gaps in answers
What Grapevine is
Grapevine is an in-house corporate GPT. It connects the tools a team already uses, including Slack, Notion, GitHub, Linear, and Drive, then keeps indexing the data inside them so answers stay current. Team members ask questions in Slack and get answers that come with references back to the source, which is what makes them checkable rather than just plausible. It handles queries with full historical context, taking earlier conversations into account, and it keeps learning from team data over time. It can also proactively answer questions it expects. Security is described with AES 256 encryption, isolated customer databases, SOC II compliance, and no use of customer data for model training. It can be used for free to start.
What you can do with it
- Connect team tools and have their data indexed continuously.
- Ask a question in Slack and get an answer with sources.
- Handle queries that depend on earlier conversations and context.
- Reduce the repeated questions that land on the same people.
Who it is for
- Enterprise teams whose knowledge is spread across several tools.
- Cross-departmental collaborators who need shared context.
- IT and infrastructure teams fielding the same questions weekly.
What to watch out for
Indexing company data is a significant trust decision. The security claims are specific, which is good, but you should still read the terms and decide what is in scope before connecting repositories and channels. Answer quality depends entirely on how well your documentation and conversations are organized; where the record is thin or contradictory, the answer will be too. Free starting terms and later pricing are not detailed, so get the commercial picture before rollout. And because it answers from your own data, gaps in the record become gaps in the answer.
FAQ
Which tools does it connect?
Slack, Notion, GitHub, Linear, and Drive are listed.
How secure is it?
The page cites AES 256 encryption, isolated databases, SOC II compliance, and no use of customer data for training.
Where do answers appear?
In Slack, with references to the sources used.
Why it is free
What the official page says： for free
Free limits, trial length and features are decided by the official site and can change at any time.
Product preview
Screenshot archived from the listing page, for preview only.
