Enhancing Search Relevance with NER and Multi-Vectors

General-purpose embedding models often struggle to extract specific domain features from input and represent them effectively in embeddings. This is because they lack guidance on what is important, leading to suboptimal results. Domain-critical aspects are not prioritised appropriately. For instance, location information might be crucial in one domain but irrelevant in another. Another important…