The Singaporean government deploys state of the art semantic search

The Singaporean government has implemented a cutting-edge semantic search system using Vespa, an open-source big data serving engine, to enhance their ability to search and retrieve every word ever spoken in their Parliament. This deployment marks a significant advancement, as it combines both document and chunk-level embeddings with text features into a single ranking, thereby delivering superior search quality. The system underscores the importance of informed decision-making through advanced retrieval-augmented generation (RAG) systems, where a robust search engine is crucial for retrieving relevant data. The Singaporean government appears to be among the first to operationalize such advanced methods, setting a precedent for other teams exploring similar technologies.