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Excited to Announce Voyage Embeddings! – Voyage AI

blog.voyageai.com · 882 words · saved by 1 readers

TL;DR – Voyage is a team of leading AI researchers, dedicated to enabling teams to build better RAG applications. Today, we’re releasing a new state-of-the-art embedding model and API, which already beats public models, like OpenAI’s text embeddings, with more to come soon. If you’re excited about custom/fine-tuned embeddings with further enhanced retrieval accuracy, please reach out to contact@voyageai.com for early access. This post assumes familiarity with basic concepts related to the popular retrieval-augmented generation (RAG) stack, which is designed for domain-specific chatbots.RAG retrieves validated sources using embeddings and then inputs them into a large language model (LLM) to generate accurate responses. Please check out this article for further background. Have you heard other developers discuss the importance of embedding models for RAG? And, often, that OpenAI’s embeddings endpoint just aren’t good enough? Let’s break down why! Suppose you’re building a chatbot using

Excited to Announce Voyage Embeddings! – Voyage AI Skip to content News By Voyage AI · October 29, 2023 Excited to Announce Voyage Embeddings! TL;DR – Voyage is a team of leading AI researchers, dedicated to enabling teams to build better RAG applications. Today, we’re releasing a new state-of-the-art embedding model and API, which already beats public models, like OpenAI’s text embeddings, with more to come soon. If you’re excited about custom/fine-tuned embeddings with further enhanced retrieval accuracy, please reach out to [email protected] for early access. This post assumes fa

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