fn-registry agent
24 lines
688 B
Markdown
24 lines
688 B
Markdown
---
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name: estudio_embeddings
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lang: py
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domain: datascience
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description: "Exploracion de embeddings: benchmarks de RAM, modelos locales y vector storage para retrieval."
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tags: [embeddings, vectors, llm, retrieval, benchmark, jupyter]
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uses_functions: []
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uses_types: []
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framework: "jupyterlab"
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entry_point: "notebooks/"
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dir_path: "analysis/estudio_embeddings"
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repo_url: "https://gitea-dgg044oo04woo4ggcsws4gk0.organic-machine.com/dataforge/estudio_embeddings"
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---
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## Notas
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Notebooks de exploracion de modelos de embeddings:
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- 01: exploracion inicial de embeddings
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- 02: benchmark de uso de RAM
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- 03: modelo local
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- 04: vector storage para retrieval
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Datos en `data/` y `pdf/` (gitignored).
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