Sizing
bypatw
0Calculates approximate hardware requirements for dedicated search nodes on MongoDB Atlas, supporting both lexical and vector search use cases.
About
This FastMCP-based tool assists developers and architects in estimating the necessary hardware for MongoDB Atlas search nodes. It helps determine optimal storage, RAM, and vCPU allocations for various data complexities, including embedded documents and diverse field types. The tool supports both lexical search components and high-dimensional vector search, providing tailored instance size recommendations to ensure efficient and cost-effective deployment of Atlas Search solutions.
Key Features
- Provides instance size recommendations based on common cloud instance types
- Calculates estimated storage, RAM, and vCPU requirements
- Supports complex document structures including embedded documents
- 0 GitHub stars
- Handles both lexical and vector search components
- Interactive MCP interface for easy querying
Use Cases
- Estimate hardware for a lexical-only setup with 50M documents
- Calculate hardware needs for 1M documents with 1536-dim vectors and string fields
- Determine sizing for 10M documents with 5 embedded comments each