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Dynamics Supply Chain

Microsoft Dynamics 365 Supply Chain Management is a comprehensive, cloud-based solution that empowers businesses to build a resilient, agile, and intelligent supply chain. It connects every aspect of supply chain operations—from procurement and production to inventory, logistics, and order fulfillment—into a unified system.

Qatar Airways Office in Kuala Lumpur

If you are looking for reliable support for your travel plans, the Qatar Airways Office in Kuala Lumpur is the perfect place to start. Conveniently located in the city center, this office offers comprehensive services for passengers, including ticket bookings, flight changes, baggage inquiries, and assistance with special travel requests. From the moment you step in, the friendly staff greets you with professionalism and warmth, reflecting Qatar Airways’ commitment to excellent customer service.
During my recent visit to the Qatar Airways Kuala Lumpur Office, I had an issue with my connecting flight that needed immediate attention. The staff patiently guided me through all the available options, helping me rebook my journey smoothly and without any stress. Their personal touch and efficiency made the experience hassle-free, which truly enhanced my travel confidence.
Whether you are a frequent flyer or planning your first trip with Qatar Airways, the office provides detailed guidance to ensure all your queries are resolved. Travelers can also find information about promotions, loyalty programs, and special services for business and leisure travelers. The environment is welcoming, making it easy to approach staff for any assistance you might need.
In addition to in-person services, the office staff can also guide you through online booking options, check-in procedures, and airport requirements. This makes it a one-stop solution for anyone flying with Qatar Airways from Kuala Lumpur.
Visiting the Qatar Airways Office in Kuala Lumpur personally reassures you that help is always available when you need it. From my experience, having this dedicated support center nearby adds a layer of comfort to travel, ensuring that every journey begins on a positive and stress-free note.

will voyage support data zone residency ?

we want to use reranker model from vovyge for europe clients , will it support data residency and will having any data-zones for this provider ?

Accessing Billing and Usage Information via API

Hello,

Applying Semantic Search to the Friday Night Funkin' Mod Ecosystem using Voyage AI Embeddings

Hello Voyage AI Community,
As a developer and a fan of the rhythm game
Friday Night Funkin' (FNF), I’ve been exploring ways to improve how fans discover new content. With the FNF modding community producing thousands of unique mods (on platforms like GameBanana), finding a specific mod based on "vibe," "music style," or "difficulty level" is becoming increasingly difficult with standard keyword search.
I am considering a project that uses Voyage AI’s embeddings (like voyage-large-2) to build a semantic search engine for FNF mods. Here is the concept:
The Challenge: FNF mods have rich metadata—descriptions of the music (jazz, metal, lo-fi), the character's backstory, and mechanical difficulty. A simple search for "fast songs" might miss mods described as "high BPM" or "intense speed."
The Solution with Voyage AI: By embedding the descriptions and tags of thousands of FNF mods, we can create a vector space where users can search using natural language (e.g., "A mod with a creepy atmosphere and challenging electronic music").
Potential Implementation: Using Voyage AI's high-quality rerankers to ensure that the most relevant mods appear at the top, even if the user's query doesn't match the exact title.
Why FNF?
FNF is open-source and has one of the most active creative communities. It’s a perfect "stress test" for embedding models because the language used in the community is very informal and niche-specific.
I would love to hear your thoughts on:
Which Voyage model would be best for handling gaming-related slang and technical music terms?
Has anyone tried building a recommendation engine for gaming assets using Voyage AI yet?
Looking forward to your insights!

Deprecation of models

Does VoyageAI have a policy about how much advance notice will be provided when a model is going to be deprecated?

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?