PureAI Platform
PureAI offers a complete set of tools for developers who want to create advanced applications with artificial intelligence. Our platform consists of two completely distinct and independent products:PureRouter
Independent product for intelligent LLM routing, optimizing cost, performance, and response quality.
PureCPP
Separate product that offers a high-performance RAG framework in C++ for document processing and information retrieval.
Main Product Features
PureRouter: Intelligent LLM routing
PureRouter: Intelligent LLM routing
PureRouter is an independent product that allows directing queries to the most suitable models based on criteria such as cost, performance, and quality. This optimizes resource usage and improves user experience.
PureCPP: High-performance RAG framework
PureCPP: High-performance RAG framework
PureCPP is a separate product that offers a complete set of tools for document processing, chunking, embedding, and information retrieval, all with the efficiency of C++.
Product Characteristics
PureRouter: Cost and quality optimization
PureRouter: Cost and quality optimization
PureRouter was specifically designed to manage and optimize the use of different language models, allowing you to balance costs and quality according to your specific needs.
PureCPP: Multiple format processing
PureCPP: Multiple format processing
PureCPP offers support for various document formats, including PDF, DOCX, TXT, and web content, facilitating integration with different data sources.
Products with independent scalability
Products with independent scalability
Each product has its own architecture designed to scale according to your project’s needs, maintaining high performance even with large data volumes. You can use one or both products, depending on your needs.
Get Started Now
- Using PureRouter
- Using PureCPP
- Using both products
1
Install PureRouter
Follow the installation guide to set up PureRouter in your environment.
2
Configure your first routing
Learn to create routing profiles to direct queries to the most suitable models.
3
Deploy your application
Follow our deployment guide to put your application into production.