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Can AI Writing Tools Make My Essay Sound More Professional?

I've been exploring AI writing tools, and I’m curious about how much they can improve the quality of my essays, especially in making them sound more professional. Do you think using tools like MyEssayWriter.ai or PerfectEssayWriter.ai can elevate the writing style, or does it just produce generic content?

Support for Arabic Language

Hi guys,

Input Token

If tokens exceed a certain length, the interface response will time out. the service cannot be used at all.

Checking Input Token Size Before API Call

I want to verify whether my input token size exceeds the model’s limit. Is there a built-in function to calculate token length without making an API call and incurring costs? If using tiktoken is the only option, which encoding should I use?

Healthcare-specific models

You previously mentioned healthcare-specific embedding models. Any plans on making one available soon? Thank you!

response become slow if request frequently

in my test, when i send 60 ~ 70 requests in 5 seconds, the response time will gradually change from 1.5s to more than 20 seconds. I would like to ask whether there is a situation where the processing rate is degraded.

Nordic languages support

Hello, I would like to know if any of Voyage emedding models support Swedish and Finnish languages. If there are some comparisons with cohere multilingual - would be really interesting to know the results!

voyageai.error.ServiceUnavailableError: The server is overloaded or not ready yet.

I'm using LangChain's QdrantVectorStore.from_documents(documents, embeddings,..) where embeddings is a VoyageAIEmbeddings("voyage-law-2",....). In the middle of uploading my documents, I got the error above. I've gotten this twice already. How can I fix this?

Post-hoc dimensional reduction

Hi. I have a few million documents that I generated embeddings for. Based on ad hoc experiments, it seems like for my purpose, a lower embedding dimensionality would be fine. I want to take my existing float/2048 dimension embeddings and reduce to int/1024. Obviously I can do whatever I want with my local embeddings, but is there a means to exactly replicate the quantization/dimension reduction done with the API?