If you're involved in application development or data analytics, you've likely encountered the concept of "vectorization" or "embedding" text content. This process converts text into vector form, enabling computers to better understand the meaning behind words and sentences. It's essential for semantic search, recommendation systems, automatic...
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How to Implement Semantic Search in Practice
When diving into the OpenAI API documentation, you'll notice there are two main ways to interact with the service. In previous examples, we focused on "assistants," which use API version 2—a feature still in beta. Alongside that, there's another option: the Agent SDK, a Python-based toolkit. Both approaches share some similarities, but depending on...
How to Work with Your Own Files in ChatGPT
10.03.2025
When you want ChatGPT to include data from your own files in its responses (via semantic search), you have several options: