- AWS Multi-Factor Authentication (AWS MFA) provides an extra level of security that you can apply to your AWS environment. With AWS MFA enabled, when you sign in to an AWS website, you are prompted for your username and password, as well as for an authentication code from an MFA device. Taken together, these multiple factors provide increased security for your AWS account settings and resources. You can enable MFA for the root account and for IAM users.
Vector Databases Usage: Typically used for vector search use cases such as visual, semantic, and multimodal search. More recently, they are paired with generative AI text models for conversational search experiences. Development Process: Begins with building an embedding model designed to encode a corpus (e.g., product images) into vectors. The data import process is referred to as data hydration. Application Development: Application developers utilize the database to search for similar products. This involves encoding a product image and using the vector to query for similar images. k-Nearest Neighbor (k-NN) Indexes: Within the model, k-nearest neighbor (k-NN) indexes facilitate efficient retrieval of vectors. A distance function like cosine is applied to rank results by similarity.
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