Voyage AI by MongoDB
@VoyageAI
Building embedding/vectorization models, customized for your domain and company, for better retrieval quality https://www.voyageai.com/
We are excited to announce that Voyage AI is officially joining @MongoDB ! Joining @MongoDB enables us to bring our cutting-edge AI retrieval technology to a broader audience and seamlessly integrate it into mission-critical applications. Learn more: blog.voyageai.com/2025/02/24/joi…
🧑💻Better code search means a better developer experience. Our partner @continuedev builds the leading open-source AI code assistant and voyage-code-3 and rerank-2 are two models helping them do it! Learn more in their blog: blog.continue.dev/transforming-c…
@metcalfc wrote a deep dive on why your custom AI code assistant should include embeddings and a reranker from @VoyageAI🥇
🆕 Now in @MongoDB Atlas Search Playground: Chatbot Demo Builder Explore Atlas Vector Search by building your own Q&A chatbot—no coding required. Use uploaded or sample datasets, and let the Builder handle index definitions, queries, and embeddings (powered by Voyage AI).…
Huge thanks to @TengyuMa for coming on the Elevate Podcast! Check out the podcast episode here: youtube.com/watch?v=ku7hFY…
Learn how to do multi-modal retrieval using @VoyageAI's multi-modal embeddings and @MongoDB's multi-modal indexes! In this notebook you'll learn: ➡️ How to use @VoyageAI's multi-modal embeddings ➡️ Setting up @MongoDB Atlas as a vector store for image embeddings ➡️ Creating a…
Voyage AI joined @MongoDB just 2 months ago, and we’re accelerating our mission of building the best embedding models for all developers! Here’s what’s already in motion: • 100x API scaling • New, advanced models • Built-in embeddings in Atlas Vector Search • Direct API…
The performance of AI-driven apps hinges on vector efficiency. Join us tomorrow to learn how MongoDB Atlas Vector Search + @VoyageAI Embeddings use quantization to cut storage costs & speed up queries. 🔗 Register now: mongodb.social/6016LZXCm