🌍📢 Launching our multilingual embeddings, voyage-multilingual-2!
👑 Average 5.6% gain on evaluated languages, including French, German, Japanese, Spanish, and Korean
📚 32K context length
🛒 On AWS Marketplace
Check us out! 👉🏼 The first 50M tokens are on us.
#RAG #LLM
More details in our blog post: https://t.co/KM5NZJ0jOa
We support academic retrieval research and benchmarking! Please email us at contact@voyageai.com for more 🆓 tokens.
embedding — A list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.
context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
Why it matters
A multilingual retrieval option with a 32K context windowThe maximum amount of text a model can consider at once — its working memory for the current conversation or task.Full definition →, useful when your corpus is not English and current embeddingA list of numbers representing a piece of text's meaning, so that similar meanings end up numerically close and can be searched.Full definition → degrade on it.
