Vector
Abstract or die: Why AI enterprises can't afford rigid vector stacks
[ad_1] Vector databases (DBs), once specialist research instruments, have become widely used infrastructure in just a few years. They power today's semantic search, recommendation engines, anti-fraud measures and gen AI applications across industries. There are a deluge of options: PostgreSQL with pgvector, MySQL HeatWave, DuckDB VSS, SQLite VSS, Pinecone, Weaviate, Milvus and several others. The…
Scalable Vector Graphics files pose a novel phishing threat
[ad_1] Criminals who conduct phishing attacks over email have ramped up their abuse of a new threat vector designed to bypass existing anti-spam and anti-phishing protection: The use of a graphics file format called SVG. The attacks, which begin with email messages that have .svg file attachments, started to spread late last year, and have…
Creating an AI-Powered Tutor Using Vector Database and Groq for Retrieval-Augmented Generation (RAG): Step by Step Guide
[ad_1] Currently, three trending topics in the implementation of AI are LLMs, RAG, and Databases. These enable us to create systems that are suitable and specific to our use. This AI-powered system, combining a vector database and AI-generated responses, has applications across various industries. In customer support, AI chatbots retrieve knowledge base answers dynamically. The…