Join waitlist
Back to products
Grapevine

Grapevine

A company GPT that actually works

Website getgrapevine.ai
Overview

What it is

Connects to all your company's data sources, e.g. Slack, GDrive, Codebase, Linear, etc., and makes it really easy for AI agents to search over. The first product we're launching on this system is a company GPT that works better than any alternative today.

Intent

I need it when

Maintain data privacy and control by hosting knowledge infrastructure on-premises or private cloud

Grapevine is self-hostable open-source software that runs on your own infrastructure (Docker, PostgreSQL, OpenSearch, Redis), giving organizations full control over data residency, security policies, and compliance requirements without relying on third-party SaaS providers

Enable AI assistants and chatbots to access company-specific knowledge without manual context switching

Grapevine exposes an MCP (Model Context Protocol) server that allows Claude and other AI assistants to search and retrieve company knowledge directly, plus includes an optional Slack bot for AI-powered question answering within Slack workflows

Consolidate fragmented company knowledge from multiple tools into a single searchable index

Grapevine ingests data from 20+ sources (Slack, Notion, Linear, GitHub, Google Drive, HubSpot, Salesforce, etc.) and creates a unified search index with semantic AI embeddings, allowing teams to find relevant information across all corporate knowledge sources in one place

Reduce time spent searching across disconnected tools and context-switching between platforms

Semantic search powered by AI embeddings finds relevant documents across all integrated data sources with a single query, eliminating the need to manually search each tool individually and reducing knowledge discovery time

Drop

Not a fit when

  • Organization requires a fully managed SaaS solution without self-hosting infrastructure responsibilities
  • Team lacks technical expertise to deploy and maintain Docker, PostgreSQL, OpenSearch, and Redis infrastructure
  • Use case requires real-time collaboration features beyond knowledge indexing and search
  • Organization needs out-of-the-box support for proprietary or custom data sources not listed in connectors
  • Budget constraints prohibit investment in infrastructure costs and OpenAI API usage for embeddings
Commercials

Pricing

Pricing not specified