The Distributed System Behind Hebbia's High-Scale AI
We built a distributed LLM request scheduler that intelligently routes billions of tokens per day across multiple providers so high-priority work always gets through, even under rate limits.
Blog
Goodbye, RAG: How Hebbia solved Information Retrieval for LLMs
After pioneering semantic search and RAG, we found both fell short on the hardest questions so we scrapped them and built a new information retrieval system from scratch.
Matrix and OpenAI o1: Smarter AI Agents
With OpenAI o1, agents can draft longer outputs, parse denser legal documents, and reason through complex data extraction with greater accuracy than any prior model.
Hebbia Raises Series B Led by Andreessen Horowitz
Hebbia, the product layer for AI, today announced a $130 million Series B led by Andreessen Horowitz.
Introducing Matrix: The Interface to AGI
Hebbia built Matrix, an AI platform designed to handle tasks of any complexity, across any amount of data, with full transparency into how it thinks.
Why I joined Hebbia as an Account Executive
After years watching AI fall short for lawyers and consultants, Adi joined Hebbia, the first platform he’d seen actually give knowledge workers their time back.
Why I joined Hebbia as a Product Manager
After speaking with nearly 100 companies navigating the AI wave, Divya joined Hebbia, the rare team that had moved beyond the hype.
Hebbia Raises Series A Led by Index Ventures
Hebbia, a company reinventing search with natural language understanding, today announced a $30 million Series A round.