# CORTO's billion-scale legal semantic search with Aurora PostgreSQL pgvector

DevFeed: [CORTO's billion-scale legal semantic search with Aurora PostgreSQL pgvector](<https://devfeed.tech/articles/corto-s-billion-scale-legal-semantic-search-with-aurora-postgresql-pgvector-4697.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/database/cortos-billion-scale-legal-semantic-search-with-aurora-postgresql-pgvector/>)

Author: Anisa Dean

Published: 2026-08-26T16:40:00Z

Content type: article

Language: en

Sources: [AWS Database Blog](<https://devfeed.tech/sources/aws-database-blog.md>)

Topics: [AI search](<https://devfeed.tech/topics/ai-search.md>), [tenant data protection](<https://devfeed.tech/topics/tenant-data-protection.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [ai](<https://devfeed.tech/tags/ai.md>), [amazon-aurora](<https://devfeed.tech/tags/amazon-aurora.md>), [architecture](<https://devfeed.tech/tags/architecture.md>), [compliance](<https://devfeed.tech/tags/compliance.md>), [customer-solutions](<https://devfeed.tech/tags/customer-solutions.md>), [embedding](<https://devfeed.tech/tags/embedding.md>), [postgresql](<https://devfeed.tech/tags/postgresql.md>), [postgresql-compatible](<https://devfeed.tech/tags/postgresql-compatible.md>), [production](<https://devfeed.tech/tags/production.md>), [scale](<https://devfeed.tech/tags/scale.md>), [search](<https://devfeed.tech/tags/search.md>)

## AI overview

CORTO describes scaling legal semantic search on Amazon Aurora PostgreSQL with pgvector for billions of documents and vectors. The article focuses on embedding choices, multi-tenant isolation, cost efficiency, and sub-second query performance.

## Source excerpt

How CORTO scaled Amazon Aurora PostgreSQL with pgvector to 7.6 billion vectors and 2.5 billion documents in production, delivering sub-second legal search for 10,000+ law firms at 75% lower storage cost.