#RAG | AI Hub

Mastodon discussion Apr 30

An interesting approach to cultural data access:A local RAG assistant that lets you explore events through natural langu...

An interesting approach to cultural data access:A local RAG assistant that lets you explore events through natural language queries, using OpenAgenda data, FAISS, and Mistral. Runs...

RAG

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Dev.to tutorial Apr 30

Preparing RAG pipeline for production

Intro Having a working RAG that provides correct semantic answers is a great start, yet,...

RAG

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Dev.to tutorial Apr 30

Long Context vs RAG: When to Load the Whole Book

AI in Practice, No Fluff — Day 9/10 I have a project where every conversation and decision gets...

RAG

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Mastodon discussion Apr 30

What if choosing the wrong AI approach costs you 3x more than necessary?Wrong RAG vs fine-tuning decisions waste million...

What if choosing the wrong AI approach costs you 3x more than necessary?Wrong RAG vs fine-tuning decisions waste millions. It's a strategic business decision impacting cost and tim...

RAG

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Dev.to tutorial Apr 30

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

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Dev.to tutorial Apr 30

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...

RAG

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Mastodon discussion Apr 30

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...

RAG

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Mastodon discussion Apr 30

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...

RAG

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Mastodon discussion Apr 30

🚀 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...

RAG

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Dev.to tutorial Apr 29

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...

RAG Agents

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Mastodon discussion Apr 29

🚀 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...

RAG

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Mastodon discussion Apr 29

[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...

RAG

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Mastodon discussion Apr 29

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...

LLM RAG

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GitHub Trending repo Apr 29

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.

RAG

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GitHub Trending repo Apr 29

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

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Dev.to tutorial Apr 29

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.

RAG

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Mastodon discussion Apr 29

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,...

LLM RAG

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Mastodon discussion Apr 29

🚀 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...

RAG

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Dev.to tutorial Apr 29

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....

RAG Agents

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Dev.to tutorial Apr 29

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.

RAG

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