Implementing Korean hybrid search in Aurora PostgreSQL: Korean-optimized RAG with pg_bigm + pgvector | Amazon Web Services

AWS published a guide for building Korean hybrid search on Aurora PostgreSQL for RAG.

The approach combines pg_bigm keyword matching with pgvector semantic search, then merges results with RRF.

It aims to improve retrieval quality for Korean text, where particles, inflections, and compound words can hurt vector-only search.

The architecture can use Amazon Bedrock Titan Embeddings V2, Claude, Lambda, ECS, and S3.