Search Results for "ai engine"
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Showing 7 open source projects for "ai engine"
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Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. -
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Flora-2 is a powerful knowledge representation and reasoning system designed for building knowledge-intensive applications. It is based on F-logic, HiLog, Transaction Logic, and also supports defeasible reasoning. Applications include intelligent agents, Semantic Web, ontology management, and more. If you use Flora-2 and like it, please acknowledge it in your project!
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JImola is a editor for racing sims developed under the ISI engine (GTR, GTL, rF, ...). It allows the user to change the AIW file (AI control, cutting, track borders, grid and pits info) in 3D without the hassle of editing a big text file.
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jSemanticService is a lightweight framework that allows to use Rules and Semantics in Services or Applications using Annotations. Features: jBoss Rules (Drools 4.0) as Business Rules Engine provider. Full support of Annotations, Spring, Flex/Blaze DS.
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Open Source Semantic Web Search Engine Software: If two machines anywhere on the web can agree on the same definition of a digital service or digital good, then machine to machine transactions can use this lingua franca to transact on the users behalf.
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This project intends to create an indexing search engine, for knowledge management. The primary object is to apply an information retrieval core. And implement a knowledge data discovery theory such as data mining algorithm, text mining.
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