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Voyage text embeddings and rerankers are now available in Haystack, an open-source AI framework by @deepset_AI !🚀 To get started, check out the Voyage integration page on Haystack: haystack.deepset.ai/integrations/v… Shout out to Ashwin Mathur for laying the foundation for this integration!

The performance of AI-driven apps hinges on vector efficiency. Join us tomorrow to learn how MongoDB Atlas Vector Search + Voyage AI by MongoDB Embeddings use quantization to cut storage costs & speed up queries. 🔗 Register now: mongodb.social/6016LZXCm

🧑‍💻Better code search means a better developer experience. Our partner Continue 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…

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

Learn how to do multi-modal retrieval using Voyage AI by MongoDB's multi-modal embeddings and MongoDB's multi-modal indexes! In this notebook you'll learn: ➡️ How to use Voyage AI by MongoDB's multi-modal embeddings ➡️ Setting up MongoDB Atlas as a vector store for image embeddings ➡️ Creating a