Tricky Database Interview Question🤯

How do AI agents get long-term memory or access to your documents? A vector database. The short version: you convert your data into embeddings, which are numerical representations of meaning, store them, then give the agent a search tool so it pulls only the relevant information for whatever you're asking. This pattern is called RAG, retrieval augmented generation, and it's how agents answer questions about documents and remember long-term facts even when the context window is full of the curren

SQL vs. NoSQL Databases The choice between SQL and NoSQL impacts how your application stores, scales, and manages data. SQL (Relational Databases) SQL databases use a structured, table-based format with rows and columns. They rely on a predefined schema, meaning you must define the data structure before adding any information. Strengths: Excellent for complex queries, multi-row transactions, and maintaining strict data integrity (ACID compliance). Best Use: Financial systems, accounting software

Normalization in SQL | Database Normalization Forms - 1NF, 2NF, 3NF, BCNF | Edureka Rewind

Database Normalization | 1NF, 2NF and 3NF Complete Tutorial