POMA AI | Solving Chunking

POMA is a proprietary software solution (patent pending) that applies cutting-edge mathematics to fix the biggest issues currently facing AI tools and the large language models (LLMs) that power them. Retrieval augmented generation (RAG) was a major leap forward for LLMs. This made it possible for an LLM to incorporate information from databases outside its training model, which greatly increases its capabilities. But until now, this power-up has come with significant costs, as the additional computing power required consumes more time, money, electricity, and water. And since first-generation chunking strategies each had major blind spots, the accuracy and efficiency of even the most advanced AI models still suffers. POMA fixes both of these problems. We’ve created a new RAG method– powered by what we call “chunksets,” which are combined to create “cheatsheets”—that preserve the full root-to-leaf hierarchy of all documents‘ contents in the database. In short, POMA enables LLMs to retrieve information with the same contextual awareness and subtle complexity as the human brain. Just at a vastly more powerful scale. Which has massive potential for application in the fields of law, healthcare, finance, government, and more.