In the news
How Bridgewater Turned 100 Million Documents Into an Edge
turbopuffer · Published · 3 min read
In 30 seconds
- What happened
- Bridgewater built the Vault, a platform indexing 100 million documents to serve both human investors and AI agents with unified unstructured data access.
- Why it matters
- Investment firms and engineers building AI systems need better search and data retrieval when agents must process vastly more information than humans can read.
- Watch out
- The platform required custom ontology alignment, careful data governance, and native filtering solutions; generic vector databases proved insufficient for their requirements.
- edge
The patterns behind this
- Process Reward Models & Verifier-Guided Search
- Structure-Aware Codebase Retrieval (Repo Map)
- Contextual Unstructured Memory
Each one covers how the technique works, when it earns its cost, and where it breaks.
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