docs: add analysis.md frontmatter for fn_registry indexing

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+---
+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).