What is RAGaaS?
RAGaaS.dev is an API-first platform for RAG-based AI apps. Ingest data from tools (Google Drive, Notion, Dropbox, etc.), web pages, or files. Store embeddings in your own storage, search with hybrid search, and deploy in minutes—privacy-first, no bloat.
Problem
Users face challenges in deploying AI applications with their data. Current solutions often involve complex setups with multiple tools and technical expertise required. The drawback is the difficulty to ingest data from multiple sources and deploy applications quickly, as well as concerns over privacy and unnecessary features.
Solution
An API-first platform that simplifies the deployment of RAG-based AI apps. With RAGaaS.dev, users can ingest data from tools and web pages, store embeddings, and perform hybrid searches easily. It includes connecting to data sources like Google Drive, Notion, or Dropbox, and offering rapid deployment with emphasis on privacy.
Customers
Developers and Data Scientists looking to build AI applications efficiently. These individuals typically work in tech companies, startups, or research institutions and are focused on developing AI solutions, handling data integration, and deploying applications swiftly while prioritizing data security.
Unique Features
Privacy-first approach
API-first infrastructure
Ability to ingest data from various sources
Hybrid search capabilities
Rapid deployment without unnecessary features
User Comments
Simplifies data integration for AI apps
Focuses on privacy and security
Efficient deployment process
Reduces complexity of data management
Effective for rapid app development
Traction
Recently launched on ProductHunt
Highlights its unique API capability and privacy-first design
Garnering interest from tech developers and startups
Growing attention towards data security in AI applications
No additional specific metrics such as revenue or user count available
Market Size
The global AI applications market is expected to reach $126 billion by 2025, driven by the increasing need for intelligent data processing and automation across industries.
