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
#embeddings
2 posts.
Text Embeddings: The Foundation of Semantic Search
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.
·7 min read · #rag#embeddings#ai