Building the Future Of
.
Baking the models and tools for generative AI and search at scale.
Search the entire English-speaking Wikipedia on a 20$ machine.
Use Advanced Retrieval Instantly
Our state-of-the-art embedding and reranking models work together seamlessly to support your application requiring RAG or search. They're easy to use and to integrate with your existing application to build powerful AI applications.
Improve Your Search for Every Use-Case
We build great models to boost your search results in every use-case, so you can focus on what's important to your business and users.
E-commerce
Boost product search, increase conversion rates, and improve user experience
Retrieval Augmented Generation
Enhance RAG systems, reduce hallucination, improve content quality
Content
Improve recommendation systems, deliver more relevant content
Open Source And High Performance
Our open-source models are trusted by millions of developers and researchers worldwide.
We’re Building at the Frontier of AI and Making It Usable for You
Model Development
Embedding & Reranking Models
We train state-of-the-art custom models to generate embeddings and perform reranking that capture the nuances of different domains. Our models go beyond text data to include product embeddings, table embeddings, and more.
Deployment
Scalable Inference
We build custom inference engines for our models to ensure low latency and high throughput. The inference engine can be deployed everywhere. We research novel compression and inference techniques to make our models more efficient.
Performance
Knowledge Distillation
Knowledge Distillation helps us to reduce model size to deliver increased performance and significantly reduced latency, achieving up to 40x faster responses.
AI System Monitoring
Comprehensive AI Performance Observation
Monitoring and evaluating the performance of AI retrieval systems is the key factor for gaining insights into system efficiency and user interaction, ensuring optimal performance.
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