retrieval augmented generation Things To Know Before You Buy
The diagram illustrates a recommendation procedure wherever a big language product procedures a user's query into embeddings, which are then matched applying cosine similarity inside of a vector database containing each textual content and graphic embeddings, to retrieve and recommend by far the most appropriate products. - opendatascience.com The