Db

Relational databases structure data into tables with rows and columns. They are ideal for complex queries and applications requiring high data consistency, such as financial systems. MySQL , PostgreSQL, Oracle, Microsoft SQL Server. Language: Uses Structured Query Language (SQL). B. NoSQL Databases

This article explores the fundamental concepts, types of database management systems (DBMS), key SQL keywords, and emerging trends in database technology. 1. What is a Database (DB) and Why It Matters Relational databases structure data into tables with rows

Creates an index to speed up data retrieval (crucial for performance). 4. Modern DB Architecture: Beyond Storage Language: Uses Structured Query Language (SQL)

Vector databases are used to store document embeddings, allowing systems to perform semantic similarity searches for AI, creating a RAG pipeline that can be built using open-source tools. 5. Best Practices for Database Management such as documents

NoSQL databases provide a mechanism for storage and retrieval of data modeled in means other than tabular relations, such as documents, graphs, or key-value pairs. They are highly scalable.

Indexes are vital for performance but can slow down write-heavy applications.

The Ultimate Guide to Vector DB and RAG Pipeline - Learn OpenCV