Vertex AI
Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case.
Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection.
Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.
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Docket
Docket is the leading agentic AI platform that improves pipeline generation and seller efficiency for marketing & sales teams. Docket unifies your organization’s GTM data into the Sales Knowledge Lake™ and activates it with powerful, pre-built AI agents.
Docket’s Marketing Agent engages website visitors through human-like conversations to convert them into qualified leads & customers, while its Sales Agent provides sellers with instant access to product knowledge and solution expertise.
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NemoVote
NemoVote is a modern, intuitive platform designed for secure, digital voting and elections. Built for organizations like unions, political parties, associations, and businesses, NemoVote simplifies both routine motions and complex election processes, all while offering transparent and unbeatable pricing. Trusted by well-known organizations such as WMA - World Medical Association, JEF – Young European Federalists and many more, NemoVote simplifies election management with a low learning curve for administrators, making online elections, hybrid elections and in-person elections easy to handle.
NemoVote offers all the functionality needed for secure and efficient voting, including transparent pricing with no hidden fees. With GDPR compliance, data protection, and legal security at its core, NemoVote guarantees that elections meet the highest standards of safety and reliability. Designed to support elections of any size, it’s perfect for associations, unions, businesses, and non-profits looking for a flexible and cost-effective solution. Backed by a dedicated support team, NemoVote provides expert assistance, even live support, ensuring smooth elections from start to finish.
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BGE
BGE (BAAI General Embedding) serves as a versatile retrieval toolkit aimed at enhancing search capabilities and Retrieval-Augmented Generation (RAG) applications. It encompasses functionalities for inference, evaluation, and fine-tuning of embedding models and rerankers, aiding in the creation of sophisticated information retrieval systems. This toolkit features essential elements such as embedders and rerankers, which are designed to be incorporated into RAG pipelines, significantly improving the relevance and precision of search results. BGE accommodates a variety of retrieval techniques, including dense retrieval, multi-vector retrieval, and sparse retrieval, allowing it to adapt to diverse data types and retrieval contexts. Users can access the models via platforms like Hugging Face, and the toolkit offers a range of tutorials and APIs to help implement and customize their retrieval systems efficiently. By utilizing BGE, developers are empowered to construct robust, high-performing search solutions that meet their unique requirements, ultimately enhancing user experience and satisfaction. Furthermore, the adaptability of BGE ensures it can evolve alongside emerging technologies and methodologies in the data retrieval landscape.
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