Abstract: Techniques for implementing a vector database in a multi-tenant environment are described. A system creates an index of a tenant that scales efficiently in a multi-tenant environment. The index is created by clustering the plurality of vectors into a set of clusters. The created index forms a hierarchical index including plurality of layers and is stored in a primary data storage unit. The system includes an intermediate data storage unit to store new vectors and to avoid re-indexing every time a new vector with an associated operation such as insert, update, and delete, is added. Further, the system provides reliable nearest neighbor vectors from the created index of the tenant. Read operation is performed over the quick-retrieval data, primary data, and intermediate to determine the nearest neighbor vectors.

Abstract: The present subject matter discloses techniques to automatically cluster events generated by a plurality of distinct ecosystems deployed in a connected environment in relation to a product. In operation, the clustered events may be correlated, and one or more of the correlated events that trigger a response may be identified as an actionable item. Based on a correlation between the actionable items, a hierarchical product parameter responsible for the actionable item may be identified. The hierarchical product parameter is an operational factor in a hierarchy of operational factors associated with the product, where the hierarchy of operational factors span over the plurality of distinct ecosystems operating in relation to the product. Subsequently, one or more entities across the distinct ecosystems may be notified of the actionable item, to initiate a required action. Further, techniques to detect operational factors associated with the product deployed in the distinct ecosystems are disclosed.