# Embeddings ### Thinking in Embeddings: Embeddings sound too good to be true, you can find similar items, for recommendations, find anomalies, retrieval, classification. Not just limited to word or sentence but conversations, images, videos, speech, music, users, products, sessions. TODO 🥲 *** Where to go next: * [Classifying all of the pdfs on the internet](https://snats.xyz/pages/articles/classifying_a_bunch_of_pdfs.html) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://notes.siddish.com/wip/embeddings.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.