AINewsnow

3 arquitecturas RAG para el mismo caso de uso

This story is from 2026-09-16. It is preserved in the archive; the latest stories are on the live feed.

El punto de partida Cuando empecé a hacer proyectos de RAG con Amazon Bedrock, pude ver las ventajas de usar una Knowledge Base gestionada, ya que te resuelve casi todo, como la ingesta, el chunking, los embeddings y la base vectorial. Pero para entender bien la arquitectura, quería ver qué pasaba…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-16 19:17 · DEV Community — AI
    3 arquitecturas RAG para el mismo caso de uso

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  3. The new AgentCore runtime: Elastic, optimized, and consistently fast starts — AWS Machine Learning Blog
  4. Amazon SageMaker Inference: 2026 year-to-date launches in review — AWS Machine Learning Blog
  5. Migrating multi-model AI agents to Amazon Bedrock AgentCore runtime — AWS Machine Learning Blog
  6. Deploy Hugging Face models on Amazon SageMaker AI with coding agents — AWS Machine Learning Blog
  7. Reduce time-to-hire for quality candidates with AI-powered Amazon Connect Talent — AWS Machine Learning Blog
  8. I'm a Principal Applied Scientist at AWS who builds AI services like Amazon Bedrock and Lex. AMA! [D] — r/MachineLearning

Get the daily brief of stories like this at 6:30 every morning →