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MSManuela Schrittwieserneuralstackms.tech3h ago · 7 min read

Sentinel-LLM: A Hybrid Guardrail Architecture for OWASP LLM06 – Sensitive Information Disclosure

Published on NeuralStack | MS · AI Security Engineering · June 2026 Every production LLM deployment carries a category of risk that is simultaneously well-understood in theory and chronically under-e

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RGRyan Giggsryan-giggs.hashnode.devMar 9 · 12 min read

Oracle Database 23ai: Creating Vectors and Understanding Distance Metrics for Similarity Search

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

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PSProsenjeet Sahaprosenjeet-blog.hashnode.devFeb 25 · 5 min read

Agentic Search Powered by Elastic’s Agent Builder: Lessons from Building Autonomous Search Systems in Practice

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

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ATAditya Trivediadityatrivedi.hashnode.devJan 29 · 6 min read

Deep Dive into Vector Databases and Indexing

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...

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JCJunyu Chenblog.vectorchord.aiDec 3, 2025 · 13 min read

How We Made 100M Vector Indexing in 20 Minutes Possible on PostgreSQL

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...

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KSkiran sabnedatabasedeveloper.devOct 21, 2025 · 1 min read

Building a Semantic Similarity Search API with FastAPI, Sentence-BERT, and PostgreSQL pgvector

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 ...

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KKashifblog.ifkash.devAug 28, 2025 · 4 min read

I Built a Tiny Vector Database (and Pointed It at FAISS)

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 ...

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SGSourav Ghoshtechiesourav.hashnode.devJul 16, 2025 · 4 min read

Vector Search: The Neural Pathway That's Rewiring How AI Thinks About Knowledge

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...

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CWCenz Wongcenz.hashnode.devJul 13, 2025 · 5 min read

Introduction to Vector Database

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...

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ASArshnoor Singh Sohiarshnoor.hashnode.devJun 11, 2025 · 27 min read

Retrieval-Augmented Generation (RAG): Enhancing AI Responses with External Knowledge

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 ...

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Trending tags this week

Sentinel-LLM: A Hybrid Guardrail Architecture for OWASP LLM06 – Sensitive Information Disclosure

Oracle Database 23ai: Creating Vectors and Understanding Distance Metrics for Similarity Search

Agentic Search Powered by Elastic’s Agent Builder: Lessons from Building Autonomous Search Systems in Practice

Deep Dive into Vector Databases and Indexing

How We Made 100M Vector Indexing in 20 Minutes Possible on PostgreSQL

Building a Semantic Similarity Search API with FastAPI, Sentence-BERT, and PostgreSQL pgvector

I Built a Tiny Vector Database (and Pointed It at FAISS)

Vector Search: The Neural Pathway That's Rewiring How AI Thinks About Knowledge

Introduction to Vector Database

Retrieval-Augmented Generation (RAG): Enhancing AI Responses with External Knowledge