Discussions

Ask a Question

What is MBA assignment help, and how can it benefit me?

MBA assignment help is a professional academic service designed to assist students in completing their MBA coursework, projects, and assignments efficiently. These services are provided by experts with specialized knowledge in business, management, finance, marketing, HR, and other MBA subjects. By using MBA assignment help, students can save time, gain a better understanding of complex concepts, improve the quality of their assignments, and achieve higher grades. Additionally, many services offer plagiarism-free work, timely delivery, and personalized guidance, ensuring you meet academic standards while reducing stress during tight deadlines.

Is the 200M free tokens shared or per model?

The docs say we get 200 million free tokens per account for embeddings. Is that quota shared across all models (like voyage-3.5, voyage-3-large, etc.) or does each model get its own 200M?

OpenAI API compatibitlity

To be compatible with OpenAI API implementation Voyage AI API should also deliver "prompt_tokens" in the "usage" part of the response for Embeddings.

Language Support in Embedding model

Hi there, can you please list the languages that Voyage AI's embedding model natively supports?

How to get 2048 byte embedding for voyage-3.5 model?

Hi, I'm using Typescript library to get voyage-3.5 embedding. Despite the documentation contains description of output_dimension parameetr of a request, Typescript library does not support it. method embed() takes a VoyageAI.EmbedRequest type object which contains only input, model, inputType, truncation, and encodingFormat properties. There is neither output_dimension, nor output_dtype. Even if I try to create a request of any type and include output_dimension: 2048 in it, the embed method still returns 1024 embedding vector. How can I request a different embedding size?

Is Voyage multimodal embedding api supports sinhala language?

I'm on a big, high accuracy needed project. so I want to know that voyage multimodal embedding api will do it's job with best performance for sinhala language

I'm getting different embeddings for the SAME encoding

Here is my code

Is it normal for API responses to take 3 - 5 seconds

We're currently using OpenAI and we're used to couple hundred millisecond response times. Benchmarking voyage and recall is definitely improved but it comes at the cost of 10X slower embeddings? Am I doing something wrong.

Checking token count on typescript

I see reference to count_tokens in python. What about typescript or just a REST api is fine