---
name: estudio_embeddings
lang: py
domain: datascience
description: "Exploracion de embeddings: benchmarks de RAM, modelos locales y vector storage para retrieval."
tags: [embeddings, vectors, llm, retrieval, benchmark, jupyter]
uses_functions: []
uses_types: []
framework: "jupyterlab"
entry_point: "notebooks/"
dir_path: "analysis/estudio_embeddings"
repo_url: "https://gitea-dgg044oo04woo4ggcsws4gk0.organic-machine.com/dataforge/estudio_embeddings"
---

## Notas

Notebooks de exploracion de modelos de embeddings:
- 01: exploracion inicial de embeddings
- 02: benchmark de uso de RAM
- 03: modelo local
- 04: vector storage para retrieval

Datos en `data/` y `pdf/` (gitignored).
