Generating Text Embeddings with an API
A practical tutorial on text embeddings: vector intuition, calling an embeddings API, choosing dimensions, computing cosine similarity, and caching the results.
·7 min read · #llms#embeddings#intermediate
2 posts.
A practical tutorial on text embeddings: vector intuition, calling an embeddings API, choosing dimensions, computing cosine similarity, and caching the results.
What an embedding is, why cosine similarity works, how dimensionality and chunking choices affect retrieval, and a tiny numpy example you can run in your head.