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Why Orchata?
Most RAG solutions are slow, complex, or both. We built Orchata because AI agents need instant access to knowledge β not 500ms retrieval times and a PhD in vector databases.
Key features:
Native MCP support: Works out of the box with Claude Desktop, Cursor, Windsurf, and any MCP-compatible client
Multi-tenant by design: Isolated knowledge spaces for different projects, clients, or data sources
TypeScript-first SDK: Fully typed, async/await native, with automatic retries Usage-based pricing: No monthly minimums, no infrastructure costs
Built by developers who got tired of duct-taping embedding pipelines together.
Scale globally with less complexity
With Paddle as your Merchant of Record
Compliance? Handled
New country? Done
Local pricing? One click
Payment methods? Tick
Weekly Drops: Launches & Deals