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TTiamattiamat-ai.hashnode.devMar 8 · 6 min read

Vector Database Security Risk Assessment: Enterprise Framework

TL;DR Vector database poisoning impacts 68% of production RAG deployments. This assessment framework helps security teams evaluate risk, identify vulnerabilities, and remediate before breach. Includes vendor evaluation checklist and ROI calculator. W...

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TITech Insights Hubtopperblog.hashnode.devFeb 12 · 4 min read

Pinecone Vector Database: Store and Search AI Embeddings

Pinecone Vector Database: Store and Search AI Embeddings The Mistake That Cost Me $2000 in API Bills Three weeks ago, I learned this lesson the hard way. Let me save you from the same pain. Table of Contents Why This Matters Now Understanding the Fu...

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AAanchalaanchalfatwani.hashnode.devJan 31 · 8 min read

Vector Databases: A Complete Guide (Concepts, Use Cases, Advantages, and Limitations)

1. Introduction As AI systems evolved—especially with the rise of machine learning, deep learning, and LLMs (Large Language Models)—traditional databases started showing their limits. Searching exact matches in rows and columns is great, but modern a...

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NPNilesh Patidarever-wonder-how-gpt-understands-text.hashnode.devOct 12, 2025 · 4 min read

The Complete Guide to RAG (Retrieval-Augmented Generation) — From Concept to Implementation

What is RAG — In Simple Words From the name itself — Retrieval-Augmented Generation (RAG) — you can already guess what it does. It’s a hybrid approach that combines two worlds: Retrieval — fetching relevant information from a data source. Generatio...

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YSYash Shirsathyashashirsath.hashnode.devAug 18, 2025 · 8 min read

Want to Be AI Familiar? Here’s What You Should Know in 2025

Artificial Intelligence isn’t just about ChatGPT anymore. The ecosystem surrounding AI is vast and continually evolving, encompassing tools, frameworks, concepts, and workflows that make AI more practical in real world applications. If you’re startin...

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ASAlankar Srivastavaalankar-srivastava.hashnode.devJul 26, 2025 · 9 min read

Building a Recommendation System with Node.js, Ollama, and Vector Magic

The Quest Begins Once upon a time : You're scrolling through Netflix for the 147th time, and somehow their algorithm thinks you'd enjoy "Cats" because you once watched "The Lion King." We've all been there. Today, we're staging a rebellion. We're bui...

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NKNagen Kthinkboundlessai.hashnode.devSep 30, 2024 · 3 min read

Relevance of Vector Databases in AI

Vector databases have emerged as a pivotal technology, transforming how AI models interact with vast and complex datasets. Unlike traditional databases that handle structured data, vector databases excel at managing unstructured or semi-structured da...

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PNPradip Nichiteblog.futuresmart.aiJun 19, 2023 · 6 min read

ChromaDB: An Open-source vector embedding database

In today's digital age, having a smart and efficient way to handle data is crucial. Here, we explore the capabilities of ChromaDB, an open-source vector embedding database that allows users to perform semantic search. ChromaDB stores documents as den...

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#vectordb

Explore Hashnode

Trending tags this week

Vector Database Security Risk Assessment: Enterprise Framework

Pinecone Vector Database: Store and Search AI Embeddings

Vector Databases: A Complete Guide (Concepts, Use Cases, Advantages, and Limitations)

The Complete Guide to RAG (Retrieval-Augmented Generation) — From Concept to Implementation

Want to Be AI Familiar? Here’s What You Should Know in 2025

Building a Recommendation System with Node.js, Ollama, and Vector Magic

Relevance of Vector Databases in AI

ChromaDB: An Open-source vector embedding database