Dr Ao Vivo

Como transformamos a Doutor ao Vivo na grande referência em saúde digital.

The integration of Large Language Models (LLMs) with retrieval systems has shown promising potential in retrieving documents (docs) or advertisements (ads) for a given query. Existing LLM-based retrieval methods gener- ate numeric or content-based DocIDs to re- trieve docs/ads.

However, the one-to-few map- ping between numeric IDs and docs, along with the time-consuming content extraction, leads to semantic inefficiency and limits scalabil- ity in large-scale corpora. In this paper, we propose the Real-time Ad REtrieval (RARE) framework, which leverages LLM-generated text called Commercial Intentions (CIs) as an intermediate semantic representation to directly retrieve ads for queries in real-time. These CIs are generated by a customized LLM injected.