Optimizing Azure AI Search: Comparing Push and Pull approaches with performance recommendations

The Azure Search Index can be populated in two different ways. You can either directly push data into the index via the REST API/SDK (left image), or leverage the built-in Azure Search Indexer, which pulls data from a chosen DataSource and adds them to a specified index (right image) Choosing between the pull and push models depends on the requirements you have. Do you care most about how fast your data gets indexed, or is security your top priority? Maybe you need the flexibility to work with »

Enhancing Your Data with Azure: Unlocking Insights through Retrieval-Augmented Generation

In the rapidly evolving world of data analytics and AI, new frameworks are popping up every day to enhance the way we interact with and understand our data. One of the most exciting developments is the integration of tailor-made Large Language Models (LLM) into business processes. These models, like Azure OpenAI's GPT-4, are transforming how companies get insights from their data. In this post, we'll dive into how you can leverage Retrieval-Augmented Generation (RAG) using Azure OpenAI and Azure »