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Gen AI apps are built with MongoDB Atlas
Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Light-weight, flexible, expressive statistical data testing library
... that produce your data by automatically generating test cases for them. Integrate seamlessly with the Python ecosystem. Overcome the initial hurdle of defining a schema by inferring one from clean data, then refine it over time. Identify the critical points in your data pipeline, and validate data going in and out of them. Build confidence in the quality of your data by defining schemas for complex data objects.
Design, automate, operate and publish data pipelines at scale
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Simple data manipulation jobs can be created visually. More complex business logic can be implemented using Clover's domain-specific-language CTL, in Java or languages like Python or JavaScript.
Through its DataServices functionality, it allows to quickly turn data pipelines into REST API endpoints.
The platform allows to easily scale your data job across multiple cores or nodes/machines.
Supports Docker/Kubernetes deployments and offers AWS/Azure images in their respective marketplace