> For the complete documentation index, see [llms.txt](https://docs.burla.dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.burla.dev/all-examples/ml-embeddings-and-search.md).

# ML, Embeddings & Search

Examples for GPU embeddings, batch inference, vector search, and multimodal analysis.

<table data-view="cards"><thead><tr><th></th><th></th><th data-hidden data-card-target data-type="content-ref"></th><th data-hidden data-card-cover data-type="files"></th></tr></thead><tbody><tr><td><strong>Embed 50K Wikipedia articles</strong></td><td>Embed 50,000 Wikipedia articles with a CUDA image, CPU download stage, GPU embedding stage, and shared vector artifacts.</td><td><a href="/pages/5IISUkHLuDTCQDeJSSBn">/pages/5IISUkHLuDTCQDeJSSBn</a></td><td><a href="/files/tOspuUdq6AMLN0WdznQs">/files/tOspuUdq6AMLN0WdznQs</a></td></tr><tr><td><strong>Tune XGBoost on 1,000 CPUs</strong></td><td>Train 36 XGBoost models across 1,000 CPUs and pick the best flight-delay model.</td><td><a href="/pages/2ojprBaXQZns21MOse2C">/pages/2ojprBaXQZns21MOse2C</a></td><td><a href="/files/HQDmNvHnQiqyKErwnXDl">/files/HQDmNvHnQiqyKErwnXDl</a></td></tr><tr><td><strong>Run batch LLM inference</strong></td><td>Load a Hugging Face model once per worker and score Parquet batches without building an endpoint.</td><td><a href="/pages/48J3KTplQcuADx1KeFH2">/pages/48J3KTplQcuADx1KeFH2</a></td><td><a href="/files/2DH1VsjAxv1TPprljFki">/files/2DH1VsjAxv1TPprljFki</a></td></tr><tr><td><strong>Cluster arXiv abstracts</strong></td><td>Shard metadata, embed every abstract, then cluster and search after the corpus is visible.</td><td><a href="/pages/jiq6hCRLePtSuPvnondx">/pages/jiq6hCRLePtSuPvnondx</a></td><td><a href="/files/UfdaEdoAK5IWrdFPBLqb">/files/UfdaEdoAK5IWrdFPBLqb</a></td></tr><tr><td><strong>Search 192K artworks with CLIP</strong></td><td>Fetch and embed Open Access museum images, then use FAISS to find visual matches without labels.</td><td><a href="/pages/WxhBk9CUk9N5ytBCuAYD">/pages/WxhBk9CUk9N5ytBCuAYD</a></td><td><a href="/files/4a2IARHzx8PyWfCBgjXg">/files/4a2IARHzx8PyWfCBgjXg</a></td></tr><tr><td><strong>Test Airbnb hypotheses</strong></td><td>Run listings, photos, CLIP, Haiku Vision, reviews, and bootstrap confidence intervals across the public corpus.</td><td><a href="/pages/i35wX3WrdVZR8DWNc6pB">/pages/i35wX3WrdVZR8DWNc6pB</a></td><td><a href="/files/oFjSy5bB4lqnpT8nzsZe">/files/oFjSy5bB4lqnpT8nzsZe</a></td></tr></tbody></table>