RAG Models in Generative AI: Improve Accuracy, Trust & Enterprise ROI - appinventiv.com
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9EdDdYZTdVNHZFNHBFS2l5NlZrZUNFeHNKTXc2aFZkMjdHeFc0QTl1NWdMekp3RHd5aHkwTWl2QWIwUjR0ZFIzc2IwVWotdnlpWnoxX29qMlBXXzZ5QWJF?oc=5" target="_blank">RAG Models in Generative AI: Improve Accuracy, Trust & Enterprise ROI</a> <font color="#6f6f6f">appinventiv.com</font>
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Beyond CRUD: A Practical Guide to Modeling Business Processes in REST APIs
<p>Most developers agree that naming things is one of the hardest parts of our job. Designing a clear, effective RESTful API comes in as a close runner-up.</p> <p>On the surface, REST makes a lot of sense. Compared to its dominant predecessor, SOAP, which involved hammering a <code>POST</code> endpoint with unwieldy XML requests, REST feels like a breath of fresh air. By combining an <a href="https://www.rfc-editor.org/rfc/rfc9110#section-9" rel="noopener noreferrer">HTTP Method</a> with a <a href="https://developer.mozilla.org/en-US/docs/Web/URI" rel="noopener noreferrer">URI (Uniform Resource Identifier)</a>, you can create (<code>POST</code>), read (<code>GET</code>), update (<code>PUT</code> or <code>PATCH</code>), and delete (<code>DELETE</code>) resources. Simple and intuitive, right
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