What is WhyHow?

WhyHow.AI is an open-source graph tooling provider focused on RAG systems and multi-agent systems, offering a RAG-Native Knowledge Graph (KG) Platform that makes it easy to create and query performant graph structures over data. The platform has built workflows and infrastructure that natively support small graph creation specifically optimized for RAG applications, with the KG Studio Platform currently supporting PDF, CSV, JSON, and TXT file formats. WhyHow.AI is building native connectors with vector databases to enable Graph RAG capabilities from pre-existing vector chunks through an API, with an SDK coming soon for uploading pre-processed data. The platform focuses on enhancing RAG systems through knowledge graph technology, allowing for more structured and connected data representations that improve retrieval quality and context understanding in AI applications.

Strengths and tradeoffs

What this tool does well, and the limitations to keep in mind.

Pros

Specialized focus on knowledge graphs for RAG optimization
Open-source approach with community-driven development
Native integration with vector databases for seamless Graph RAG
Supports multiple file formats including PDF, CSV, JSON, and TXT
Small, focused team able to move quickly and iterate

Cons

Very limited public information about pricing and product details
Small team (9 employees) may limit support and feature development
Relatively new company (founded 2024) with less proven track record
SDK and some features still in development
Limited enterprise adoption evidence

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