Mar 9 · 12 min read · Oracle Database 23ai introduces native vector capabilities that enable semantic search directly within SQL. Understanding how to create vectors, calculate distances, and choose appropriate metrics is
Join discussion
Feb 25 · 5 min read · Social post Disclaimer: This post is submitted as part ofThe Elastic Blogathon. Blog Disclaimer: “This blog post was submitted to the Elastic Blogathon Contest and is eligible to win a prize." Author
Join discussionJan 29 · 6 min read · In the middle of AI Revolution, it is for sure that any industry it touches, it promises great innovations but also introduces new challenges. It is very important to have efficient data processing for all applications which involves Large Language M...
Join discussion
Dec 3, 2025 · 13 min read · 1. Introduction In the past few months, we’ve heard consistent feedback from users and partners: while our goal of providing a scalable, high-performance alternative to pgvector is well-received, index build time and memory usage remain major concern...
Join discussionOct 21, 2025 · 1 min read · In this article, I share how I built a semantic similarity search API using FastAPI, Sentence-BERT (SBERT), and PostgreSQL with pgvector.The idea was to test whether we can achieve context-aware text search directly inside Postgres, without adding a ...
Join discussionAug 28, 2025 · 4 min read · Vector DBs are everywhere these days: Pinecone, Weaviate, Qdrant, Chroma, FAISS … you name it! Most of them are full-featured systems with servers, APIs, dashboards, the works. Sometimes the best way to demystify hype is to build it yourself. Here’s ...
Join discussionJul 16, 2025 · 4 min read · Most people think GenAI is just about the models getting smarter. But here's the hidden truth: the real breakthrough isn't in making LLMs more intelligent - it's in making them more knowledgeable about your specific context. And that's where vector s...
Join discussion
Jul 13, 2025 · 5 min read · In a world flooded with text, images, videos, and user interactions, we’re moving beyond just searching with keywords. Today, many systems — from AI chatbots to recommendation engines — rely on something deeper: searching by meaning. Enter the vector...
Join discussion
Jun 11, 2025 · 27 min read · 1. Abstract Retrieval-Augmented Generation (RAG) represents a transformative approach in artificial intelligence that combines the power of large language models with the precision of information retrieval systems. This presentation explores how RAG ...
Join discussion
May 30, 2025 · 8 min read · In this article, we will describe one method for uploading, indexing, and searching a big dataset of vector data in a cost-efficient manner using the real-world LAION-400M dataset and the VectorChord extension in PostgreSQL. We're attempting to show ...
Join discussion
