Developed a cutting-edge repository that seamlessly integrates Amazon OpenSearch Serverless into Retrieval-Augmented Generation (RAG) pipelines. This innovative solution enables efficient vector search capabilities for AI applications while leveraging the benefits of serverless architecture.
Implemented high-performance vector similarity search APIs with advanced indexing and query optimization.
Built on AWS serverless technologies for automatic scaling and cost optimization.
Engineered efficient storage solutions for high-dimensional vector data.
Advanced integration with RAG pipelines for improved AI applications.
80% faster search response times with optimized vector indexing
60% reduction in infrastructure costs through serverless architecture
Automatic scaling to handle millions of vectors efficiently
Seamless integration with existing RAG pipelines