#RAG | AI Hub

Mastodon discussion May 22

RAG en PostgreSQL con pgEdge: búsqueda híbrida 2026¿Necesitás una base de datos vectorial o alcanza pgvector? Armá tu pi...

RAG en PostgreSQL con pgEdge: búsqueda híbrida 2026¿Necesitás una base de datos vectorial o alcanza pgvector? Armá tu pipeline RAG en PostgreSQL con búsqueda híbrida y cero infraes...

RAG

18

Mastodon discussion May 22

In RAG, the bottleneck isn’t your app server—it’s vector search, rerankers, and LLM latency.Go is fast glue around slow ...

In RAG, the bottleneck isn’t your app server—it’s vector search, rerankers, and LLM latency.Go is fast glue around slow calls. TypeScript on Bun matches that speed *and* brings bet...

LLM RAG

24

Dev.to tutorial May 22

I Stacked 4 More Context Layers on Top of RAG. Sonnet Got 12% Better. Haiku Got 14% Worse.

I read about Full Context Engineering and added structured output, hierarchical layout, role definition, and few-shot examples to my RAG pipeline. Sonnet got 12% better. Haiku got ...

RAG

12

Dev.to tutorial May 22

I tested 7 vector databases for my RAG stack in 2026, here's the one nobody is talking about (yet)

TL;DR: I spent 1 week benchmarking Pinecone, Weaviate, Qdrant, Milvus, pgvector, SurrealDB, and...

RAG

12

Dev.to tutorial May 22

LLM-Wiki: Multi-Agent Memory Without RAG

How three AI agents can collaborate on a complex task by sharing a folder of markdown files — and...

LLM RAG

25

Dev.to tutorial May 22

Building a P2P 'Wikipedia for Machines': Verifiable RAG with the Holepunch Stack

Current LLMs hallucinate when they lack context. While Retrieval-Augmented Generation (RAG) helps,...

RAG

12

Mastodon discussion May 22

I'm very pleased to release our first work on "RAG and GraphRAG Experiments on MCPs: Perspectives for Historical Researc...

I'm very pleased to release our first work on "RAG and GraphRAG Experiments on MCPs: Perspectives for Historical Research." This work was conducted with historian Caroline Muller (...

RAG

30

Dev.to tutorial May 22

GLIA — A holographic memory for AI agents that isn't a graph and isn't RAG

Every AI coding agent I've used (Cline, Claude, Cursor, etc) has the same problem: it forgets...

Anthropic RAG

12

Dev.to tutorial May 22

How to build a production RAG pipeline in Python (without a vector database)

Everyone reaching for a vector database when building RAG is solving the wrong problem first. For...

RAG

12

Dev.to tutorial May 22

How a Single PDF Can Poison 100 RAG Systems: The Vulnerability We Aren't Talking About

How a PDF hijacked a $50K/month RAG pipeline Recently, a security report surfaced about an...

RAG

12

Dev.to tutorial May 22

Como treinei uma IA de suporte com histórico real de atendimento: da conversa bruta ao RAG em produção

Esse artigo é a documentação completa do pipeline que construí para extrair conhecimento do histórico...

RAG

20

Dev.to tutorial May 21

Four Metrics That Actually Tell You Whether Your Enterprise RAG Is Working

Enterprise RAG — A practitioner's build log | Post 4 of 6 RAG evaluation in most implementations...

RAG

12

Dev.to tutorial May 21

I was embarrassed by my RAG demo. Turns out the bug was never in my code.

I showed my RAG app to a friend. He asked: "which region grew the most last quarter?" It said...

RAG

12

Dev.to tutorial May 21

Three Design Decisions That Shaped the Enterprise RAG Retrieval Pipeline

Enterprise RAG — A practitioner's build log | Post 3 of 6 A retrieval pipeline has more design...

RAG

12

Dev.to tutorial May 21

Built a 100k-Document RAG System by Hand. Hermes Read the Architecture in 47 Seconds.

This is a submission for the Hermes Agent Challenge For the past six months, I have been building...

RAG

12

Dev.to tutorial May 21

RAG Series (24): Code RAG — Teaching AI to Understand Your Codebase

The Difference Between Code and Documents Split a Python file into 1000-character chunks...

RAG

12

GitHub Trending repo May 21

Neal006/memorylens: The open-source benchmark for LLM memory decay. Measure how Naive, RAG, Chunked RAG, Cascading, and SummaryMemory degrade over 100 conversation turns. Ebbinghaus forgetting curves, 5-provider LLM eval, multi-seed CI. No API key needed.

The open-source benchmark for LLM memory decay. Measure how Naive, RAG, Chunked RAG, Cascading, and SummaryMemory degrade over 100 conversation turns. Ebbinghaus forgetting curves,...

LLM RAG Open Source

42

Dev.to tutorial May 21

When Should You Use GraphRAG Instead of RAG?

Most teams building LLM applications start with RAG for a good reason. It is practical, easy to...

RAG

12

NewsData.io news May 21

Benzinga Expands AI-Ready Financial Data Infrastructure for LLMs and RAG Applications

Benzinga, a leading provider of real-time financial news, market data, and financial APIs, announced the expansion of its AI-ready API infrastructure designed to power the next gen...

RAG

21