neural information retrieval

Neural information retrieval uses advanced artificial intelligence models, called neural networks, to find relevant information in large collections of data. Instead of relying only on keyword matches, these systems understand the meaning and context behind queries and documents. For example, if you ask a question, the neural model analyzes both your words and the content to deliver more accurate results. This approach improves search accuracy by capturing nuances, synonyms, and complex language patterns, making it especially effective for natural, conversational searches and providing more meaningful, context-aware responses.