Pinecone
The AI Knowledge Platform.
The Pinecone Database, Inference, and Assistant make building high-performance vector search apps easy. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.
Once you have vector embeddings, manage and search through them in Pinecone to power semantic search, recommenders, and other applications that rely on relevant information retrieval.
Ultra-low query latency, even with billions of items. Give users a great experience. Live index updates when you add, edit, or delete data. Your data is ready right away. Combine vector search with metadata filters for more relevant and faster results.
Launch, use, and scale your vector search service with our easy API, without worrying about infrastructure or algorithms. We'll keep it running smoothly and securely.
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MongoDB Atlas
The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.
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AtlasMap
AtlasMap is a data mapping solution with interactive web based user interface, that simplifies configuring integrations between Java, XML, CSV and JSON data sources. You can design your data mapping with AtlasMap Data Mapper UI canvas, and then run that data mapping via runtime engine. In addition to plain Java API provided by runtime engine, camel-atlasmap Component is also available to perform data mapping as a part of Apache Camel route. There is also a Camel Quarkus extension available. The easiest way to use AtlasMap Data Mapper UI is the standalone mode. Or you can use it through a VS Code plugin. Historically, the AtlasMap Data Mapper UI was designed to work within Syndesis UI and it’s still a best way to experience full benefits of integrated typed data mapping with UI. You can install and run Syndesis by following the Syndesis Developer Handbook. You will find the AtlasMap Data Mapper UI under the integrations panel after selecting or adding an integration with a Data Mapper.
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Embeddinghub
Operationalize your embeddings with one simple tool. Experience a comprehensive database designed to provide embedding functionality that, until now, required multiple platforms. Elevate your machine learning quickly and painlessly through Embeddinghub.
Embeddings are dense, numerical representations of real-world objects and relationships, expressed as vectors. They are often created by first defining a supervised machine learning problem, known as a "surrogate problem." Embeddings intend to capture the semantics of the inputs they were derived from, subsequently getting shared and reused for improved learning across machine learning models. Embeddinghub lets you achieve this in a streamlined, intuitive way.
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