We chunked the text document and submitted an array of chunks to OpenAI’s embeddings API. We got back a set of vectors with floating point encodings of the chunks — one vector of floats per chunk.

Vector similarity search uses machine learning to translate the similarity of text, images, or audio into a vector space, making search faster, more accurate, and more scalable.

Google on Friday added a new, experimental “embedding” model for text, Gemini Embedding, to its Gemini developer API. Embedding models translate text inputs like words and phrases into ...

The length of the embedding vector, which users can adjust, influences both the performance of the service and its cost. Real-world applications of text embeddings are vast and varied.

Options include text-embedding-3-large, text-embedding-3-small, and text-embedding-ada-002, where you'll want to experiment with each to find the best fit for your scenario. Once you've selected a ...