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Hebbia - Introducing Matrix – The Interface to AGI

hebbia.ai · 7,949 words · saved by 1 readers

In 2020, we deployed the first production RAG system. That year – we watched as RAG failed at 84% of user queries. It turns out knowledge work didn’t boil down to a vector database. ‍ ‍ This is not a technology problem– AI models are already smarter than humans at almost every metric of intelligence. This is a product problem. We built Matrix to be AI that works the way you work: ‍ With world class decomposition, no question is too complex. The moment a user asks a question, Matrix breaks down complex tasks into single-steps it can take with agents. This lets Matrix provide complete answers, exhaustive analysis of all documents, and execute on end-to-end processes. With time, decomposition even improves based on the actions and processes you or the agent have conducted in the past, without having to do retraining. With Instant parallelized data ingest, you can execute analysis over all your files, not just top results. To drive to immediate value for our customers, Hebbia built the fa

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