llms.txt Content
# RushDB
> RushDB is structured memory infrastructure for AI-native applications. It turns JSON, CSV, events, documents, and tool output into a self-describing graph with typed records, relationships, live schema, semantic search, and analytics.
This index is generated at request time from the current website configuration and published CMS records. Use the linked documentation for exact API details.
## Core Pages
- [Homepage](https://rushdb.com/): Structured memory infrastructure for AI-native applications, agents, GraphRAG, and analytics.
- [Features](https://rushdb.com/features): RushDB capabilities and the infrastructure work they replace.
- [Guides](https://rushdb.com/guides): Evergreen explanations of AI memory, graphs, retrieval, and vector search tradeoffs.
- [Use cases](https://rushdb.com/use-cases): Implementation blueprints for agents, GraphRAG, analytics, and AI apps.
- [Pricing](https://rushdb.com/pricing): Cloud pricing, Knowledge Unit billing, free tier, and enterprise options.
- [Security](https://rushdb.com/security): Security, privacy, compliance, and responsible disclosure.
- [Blog](https://rushdb.com/blog): Current product updates and technical articles.
- [Full website content for LLMs](https://rushdb.com/llms-full.txt): Full Markdown from current published CMS posts and pages.
- [GitHub repository](https://github.com/rush-db/rushdb): The open-source RushDB codebase.
## Documentation
- [Quick tutorial](https://docs.rushdb.com/get-started/quick-tutorial): The fastest path to a working RushDB project.
- [REST API](https://docs.rushdb.com/rest-api/introduction/): REST API documentation.
- [TypeScript SDK](https://docs.rushdb.com/typescript-sdk/introduction/): JavaScript and TypeScript SDK documentation.
- [Python SDK](https://docs.rushdb.com/python-sdk/introduction/): Python SDK documentation.
- [Records](https://docs.rushdb.com/concepts/records/): The primary structured data and memory primitive.
- [Relationships](https://docs.rushdb.com/con