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Dynatrace accelerates business transformation with new AI observability solution

Dynatrace

The RAG process begins by summarizing and converting user prompts into queries that are sent to a search platform that uses semantic similarities to find relevant data in vector databases, semantic caches, or other online data sources. Observing AI models Running AI models at scale can be resource-intensive.

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The Pros and Cons of Wildcard Indexes on MongoDB

Percona

​​MongoDB is a schemaless database that is extremely flexible. MongoDB does not require any ALTER statement to modify the schema of a collection, like in a relational database. When you create a collection, you don’t have to specify a structure in advance, providing field names and data types. Is it possible?