RushDB
Provides a context infrastructure layer that ingests operational data into one connected, searchable model for AI agents, applications, and analytics without separate graph or vector stores
The product is a context infrastructure layer and database that turns operational data into a connected, searchable model for AI agents, applications, and analytics, solving duplication and manual synchronization across application databases, caches, vector stores, and hand-written graph logic. It sells to developers and data teams in B2B organizations building agent systems, operational applications, and analytics. It is positioned as a single queryable model and API that replaces separate graph databases, vector stores, and sync code, available as managed cloud, external database, or self-hosted infrastructure via TypeScript, Python, REST and MCP.
Key features
- Ingestion and live schema
- Graph and relationships
- Semantic retrieval with filters
- Smart Search from natural language
- Query and analytics with one shape
- Agent context and memory
- GraphRAG connected evidence retrieval
- Customer intelligence data connection
- Search and discovery
- Evidence and compliance tracking
- Deployment options cloud or self-hosted
- TypeScript and Python SDKs
- MCP server integration
- No social media activity within the last 30 days
- Blog
- Marketplace
- Community
- API
- Docs
- Changelog
- Software developers
- Data analytics teams
- Engineering teams