Learn how vector databases enable advanced AI applications, semantic search, and efficient data retrieval for unstructured ...

Embeddings are used in a range of applications, such as document retrieval and classification, in part because they can reduce costs while improving latency. Companies including Amazon ...

We show theoretically that portfolio holdings contain all relevant information for asset pricing, which can be recovered under empirically realistic conditions. Such guarantees do not exist for other ...

Indeed, just as documents arrange words that can be used to uncover word structures via embeddings, investors organize assets in portfolios that can be used to uncover firm characteristics that ...