Kervi11

  A language model is capable of explaining something, writing code, or answering questions. However, in case you request the latest rankings of your competitors, a comparison of search results between various countries, or verification of a newly discovered fact, a model needs to have access to extra information. This is when search APIs come into play. A search API allows developers to establish connections between applications and search results of any external resources programmatically. Rather than using only the knowledge that an AI model possesses, an agent could use search results and perform a task. The key value of search APIs lies in how developers use the search data to their benefit. More precise queries, targeted search results, iterative searches, and well-structured answers can enhance even a simple question-answering application by turning it into a better research and automation solution. These are seven tips developers can use to integrate search APIs in their AI...