6d ago · 6 min read · 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...
Join discussionFeb 12 · 4 min read · 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...
Join discussionJan 31 · 8 min read · 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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Oct 12, 2025 · 4 min read · 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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Aug 18, 2025 · 8 min read · 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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Jul 26, 2025 · 9 min read · 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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Sep 30, 2024 · 3 min read · 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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Jun 19, 2023 · 6 min read · 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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