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lunes, abril 20, 2026

Entradas recientes

Product-market fit en la era de la IA: lo que cambia
eBPF para profiling continuo: Parca y Beyla
NIST PQC: los finalistas de criptografía post-cuántica
MariaDB 11.7: el fork que mantiene su propio camino
Observabilidad de LLM: trazas, costes y calidad

Pasión por la tecnología

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Etiqueta: qdrant

Bases de datos vectoriales: Qdrant, Pinecone y Weaviate

noviembre 13, 2023 javi

Pantalla con visualización abstracta de datos en clusters

Las bases vectoriales han pasado de ser experimentales a base de productos LLM. Comparativa pragmática entre las tres opciones más usadas en 2023.

Arquitectura Inteligencia Artificial

Entradas recientes

Product-market fit en la era de la IA: lo que cambia
eBPF para profiling continuo: Parca y Beyla
NIST PQC: los finalistas de criptografía post-cuántica
MariaDB 11.7: el fork que mantiene su propio camino
Observabilidad de LLM: trazas, costes y calidad
Rust 1.75 y 1.76: mejoras que se notan en el día a día
TensorRT-LLM: aceleración en GPUs NVIDIA para LLM
DuckDB: analítica rápida sin mover los datos
LoRA y QLoRA: fine-tuning eficiente al alcance de un solo portátil
Figma Dev Mode: del diseño al código con menos fricciones
Computer Use de Claude: cuando el agente mueve el ratón
GitHub Copilot Workspace: la IDE conversacional de GitHub
Edge computing industrial: latencia baja donde ocurre el dato
Swarm: el experimento de OpenAI para agentes multi-rol
Trivy y Grype un año después: cual ha madurado mejor

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