Why Do We Need Specialized Vector Databases? In the first five articles, we figured out how to chunk documents and generate embeddings. Now where do these vectors live, and how are they efficiently retrieved? You might wonder: "Can't I just store vectors in Redis or PostgreSQL?" No — traditional databases are designed for exact queries (e.g., WHERE id = 123), while vector retrieval is Approximat
Power BI is a powerful business analytics service developed by Microsoft that empowers users to visualise data and share interactive dashboards across their organisation. While Power BI can handle data from various sources, its true potential is unleashed when connected to robust data sources like SQL databases. SQL databases—such as PostgreSQL, MySQL, and SQL Server—are the industry standard for
When you have 5 unrelated questions, should you pack them into one message to the LLM, or send 5 requests simultaneously? Which is faster? Splitting into multiple independent parallel requests is almost always faster. This isn't a gut feeling — it's determined by the underlying inference mechanism of LLMs. Let's walk through the reasoning from first principles. To understand this problem, you firs