Many organizations struggle to effectively process and gain insights from large, unstructured datasets like text, images, and audio. At the same time, there is a growing demand for advanced capabilities like conversational search, natural language understanding, and personalized recommendations. Vector Databases & Embeddings solutions on AWS help organizations harness the power of techniques like word embeddings, neural networks, and similarity search to efficiently analyze multi-modal data and enhance their artificial intelligence and machine learning (AI/ML) workloads. With these solutions, organizations can improve the performance and availability of their applications, and deliver more connected, contextual insights to better serve their customers and drive business value.
Guidance
Prescriptive architectural diagrams, sample code, and technical content
