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Vector Databases

Mar 22 · 4 min read · A simple introduction to Vector Databases In today’s digital world, information is everywhere. From mobile apps and banking systems to social media and online shopping platforms — databases power near

Ppothuriakhileshakhileshpothuri.hashnode.dev

What is RAG? How Retrieval-Augmented Generation Fixes AI's Knowledge Gap

Mar 20 · 11 min read · What is RAG? How Retrieval-Augmented Generation Makes AI Smarter Learn how modern AI systems combine search and generation to provide accurate, up-to-date answers backed by real sources. Your ChatGPT confidently told you that the latest iPhone costs ...

TTiamattiamat-ai.hashnode.dev

Vector Database Privacy: How Embeddings Become Fingerprints

Mar 8 · 3 min read · TL;DR Every vector database used by RAG systems, semantic search, and AI-powered recommendations creates a permanent fingerprint of your data through embeddings. Attackers can use cosine similarity queries to extract original documents, identify user...

RAG in the Wild: What I Learned After Two Weeks of Chunking Experiments

Mar 8 · 8 min read · Three months ago I shipped a RAG pipeline that I was genuinely proud of. Semantic search over our internal docs, OpenAI embeddings, Pinecone on the backend. It felt modern. Then someone on our team asked it "what's our parental leave policy?" and it ...

OOOzioma Ochinozi.hashnode.dev

Building a Semantic Search API with Spring Boot and pgvector - Part 1: Architecture

Mar 5 · 11 min read · The problem with Keyword Search Keyword search breaks more often than most engineers realize. A few months ago, I was building an internal document management tool. Users could upload policy documents

RAG vs Fine-Tuning: What I Actually Learned After 6 Months of Building LLM Apps

Mar 5 · 8 min read · Six months ago my team was building an internal support tool for a B2B SaaS company — about 120 employees, docs spread across Notion, Confluence, and a half-dead SharePoint instance from 2019. The ask was simple: a chatbot that could answer questions...

Building Production-Ready RAG Applications with Vector Databases

Mar 4 · 3 min read · Building Production-Ready RAG Applications with Vector Databases Most RAG prototypes look impressive in a notebook. Then they hit production and fall apart. Latency spikes. Retrieval returns irrelevant chunks. Costs balloon when query volume scales. ...

Building Production-Ready RAG Applications with Vector Databases

Mar 3 · 3 min read · Building Production-Ready RAG Applications with Vector Databases Most RAG prototypes look impressive in a notebook. Then they hit production and fall apart. Latency spikes. Retrieval returns irrelevant chunks. Costs balloon when query volume scales. ...

MSManuela Schrittwieserneuralstackms.tech

The 2026 Developer Guide to Vector Databases

Feb 23 · 6 min read · Vector databases are no longer “experimental AI tooling.” In 2026, they are foundational infrastructure for search, copilots, internal knowledge systems, recommender engines and AI-native products. Ho