EmbeddingGemma 2: an open, lightweight multimodal embedding model
deepmind.google·6d ago
AI Engineering
Hacker News·Aug 14·5 min read
Introducing Toast 1
TL;DR
Toast 1, a new specialized search agent, delivers frontier-level search quality at a fraction of the cost and time compared to existing models like GPT-5.6 Sol. It enhances retrieval efficiency, achieving up to 12× faster performance and 60% cost reduction in complex tasks.
✦ Why It Matters
Integrate Toast 1 into your workflows today to enhance search efficiency and reduce costs.
Key Takeaways
- Implement Toast 1 to improve search efficiency in your applications.
- Utilize Mixedbread Search for optimal performance with Toast 1.
- Leverage Toast 1's capabilities for complex knowledge tasks.
- Explore the API to integrate Toast 1 into existing systems.
How It Works
Toast 1 operates by decomposing initial queries into subqueries, gathering evidence, and curating relevant context. This specialization allows it to produce high-quality, token-efficient evidence packages, freeing up resources for the reasoning process in frontier models.