My first “local” Vector Search: MongoDB community edition
This article was written by Darshan Jayarama. Ever since I received an email about the vector...
#RAG
691 articles tagged with RAG
I built a vector search library in Rust/WASM. Here's what I learned about performance, browser limits, and building in public with AI
I wanted to build a privacy-first RAG app. The kind where your documents never leave the browser. It...
Every embedding model gets deprecated eventually. A practitioner's guide to migrating a production RAG pipeline without ...
Every embedding model gets deprecated eventually. A practitioner's guide to migrating a production RAG pipeline without breaking search quality or your budget. https://hackernoon.c...
Python isn’t the only way to build #AIAgents anymore. With #SpringAI, #Java apps get memory, RAG, tools & model switchin...
Python isn’t the only way to build #AIAgents anymore. With #SpringAI, #Java apps get memory, RAG, tools & model switching—all behind one #API. Same code runs from local Ollama to A...
🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 28, 2026This week in the RAG & Vector Databases ...
🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 28, 2026This week in the RAG & Vector Databases space, we're seeing a surge in innovative projects that leve...
Your AI Agent Isn't Stupid, Your Vector Database Math Is
Hey DEV community, CallmeMiho here. I’ve been auditing AI architectures all week, and I keep seeing...
🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 28, 2026This week, we've seen significant growth...
🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 28, 2026This week, we've seen significant growth in the RAG & Vector Databases space, driven by innovative a...
[Перевод] Пять документов ломают ваш RAG: где реальная уязвимость и что с ней делатьRAG часто воспринимают как аккуратны...
[Перевод] Пять документов ломают ваш RAG: где реальная уязвимость и что с ней делатьRAG часто воспринимают как аккуратный способ «заземлить» LLM на документах и снизить риск галлюц...
Почему ваша LLM-платформа — следующая цель: аудит безопасности AI-сервиса изнутриМы искали уязвимости в RAG-платформе с ...
Почему ваша LLM-платформа — следующая цель: аудит безопасности AI-сервиса изнутриМы искали уязвимости в RAG-платформе с десятками тысяч пользователей — а нашли доступ ко всей инфра...
P-r-e-m-i-u-m/generative-ai-engineering-lab: Hands-on Generative AI engineering lab: RAG, prompt evals, safety, agents, and production patterns from scratch.
Hands-on Generative AI engineering lab: RAG, prompt evals, safety, agents, and production patterns from scratch.
P-r-e-m-i-u-m/ai-outcomes-suite: Generative AI engineering lab plus practical AI MVPs: RAG, evals, agents, safety, SAT tutor, compliance OS, and legal agent.
Generative AI engineering lab plus practical AI MVPs: RAG, evals, agents, safety, SAT tutor, compliance OS, and legal agent.
RAG Without Embeddings: When BM25 Beats Your $0.20-per-1K Vector Index
BEIR still shows BM25 holding its own on exact-match domains. Here is the decision rule, the Postgres setup, and when hybrid actually pays.
10 актуальных RAG-подходов: какие реально полезны и когда их применять?Всем привет, на фоне обновлений в LLM-стеке за по...
10 актуальных RAG-подходов: какие реально полезны и когда их применять?Всем привет, на фоне обновлений в LLM-стеке за последний год, решил собрать практический список RAG-подходов,...
🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 27, 2026This week in the RAG & Vector Databases ...
🚀 This Week in RAG & Vector Databases: Fastest-Growing Projects — April 27, 2026This week in the RAG & Vector Databases space, we're seeing a surge of interest in tools that levera...
Beyond Basic RAG: Architecting a Fault-Tolerant, Agentic AI Platform
The first generation of AI SaaS applications had a fundamental flaw: they were glorified wrappers....
Building a Context-Aware AI Chat Without a Vector Database
How to ground an AI chat app in your own data using system prompt assembly — a lightweight alternative to full RAG that works well when your data is structured and modest in size.
When NOT to use RAG (lessons from building a Claude-powered support bot)
Every tutorial about building AI chatbots reaches for the same starter pack: vector database,...
How I used Gemini CLI to orchestrate a complex RAG migration
Building a complex, multi-phase cloud project like a RAG migration is as much about orchestration as...
I Built a Neural Memory Layer for a Voice AI Assistant: Embeddings + Vector Search + Activity Neurons
My voice AI asked me for the third time whether Sylvie was my sister or my mother. That's when I...
RAG in Practice — Part 8: RAG in Production — What Breaks After Launch
Why production RAG drifts, degrades, and quietly fails — and the patterns and discipline that prevent it.
I benchmarked RAG vs GraphRAG vs pre-structured knowledge graphs across 45 domains — here's what happened
Three retrieval architectures. Same LLM. Same 7,928 queries across 45 domains. Different structure...
Building Production-Ready RAG: A Complete Architecture Guide
Building Production-Ready RAG: A Complete Architecture Guide Most RAG tutorials show you...
Building RAG & Knowledge Bases with seekdb: Three Paths, One Stack
The real headache in RAG isn’t retrieval or generation — it’s the layer in between. Where does the...
Token, Harness, OpenClaw, RAG, MCP, Agent — What’s the Difference? One Map Makes It Clear
You know these terms alone. Together? They’re confusing. Here’s the map. Ever feel like this —...