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Can Text-to-SQL Benchmarks Work on Document Databases? A Couchbase Architecture Case Study
Executive Summary Industry-standard text-to-SQL benchmarks are designed for relational, structured databases. However, not all real-world data workloads are confined to relational systems. Modern AI-driven query platforms increasingly operate on document-oriented data stores such as…
11 MIN READ -
What are Embedding Models? An Overview
What are embedding models? Embedding models are a type of machine learning model designed to represent data (such as text, images, or other forms of information) in a continuous, low-dimensional vector space. These embeddings…
10 MIN READ -
Data Analysis Methods: Qualitative vs. Quantitative Techniques
Data analysis is a crucial step in extracting meaningful insights from collected data. Two common approaches to analyzing data are qualitative and quantitative analysis. Each method offers different techniques for interpreting and understanding your…
9 MIN READ