WonderSearch
WonderSearch is a serverless semantic search platform that lets users upload files and query them in natural language without requiring embeddings or managing search infrastructure. The service charges per query with storage billed separately at object storage prices, and can be integrated directly into apps, help centers, or AI experiences for in-app search and self-service support.
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Traditional semantic search solutions require significant upfront investment in embedding generation, vector database management, and dedicated search infrastructure. This complexity and cost create barriers for teams that want to add natural language search to their products or internal tools without managing heavy infrastructure.
Solution
WonderSearch provides a serverless sparse retrieval solution for semantic search that eliminates the need for embeddings and infrastructure management. Users upload files directly to the platform and can immediately query them using natural language, without needing to know exact phrases. The service charges per search query, with storage billed separately at object storage prices, so customers only pay for actual usage. Developers can integrate WonderSearch into their applications, help centers, or AI experiences through an API and SDKs, enabling in-app search and self-service support capabilities.
Target Audience
Primary customers are developers and product teams building search functionality into their applications, help centers, or AI experiences, as well as organizations needing self-service support tools for their users.
Features
- Serverless sparse retrieval technology that performs semantic search without requiring embeddings or vector databases
- Pay-per-query pricing model with no idle compute costs; storage billed separately at object storage rates
- Direct file upload with instant searchability, supporting up to 100 GB and 1,000,000 files per drive
- Adjustable search effort levels (Small, Medium, Large) to balance accuracy and cost per query
- API-based service with SDKs and MCP integration for embedding search into applications and AI workflows
- Enterprise workspace support up to 10 TB and 100 million files across drives