Dataspaces (RAG)
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Why Private Data (RAG)?
Generative AI is revolutionizing businesses, but off-the-shelf models often lack the domain-specific knowledge needed to deliver truly impactful results. Hyperleap AI's Dataspaces bridge this gap by allowing you to infuse your AI with your organization's unique expertise, creating AI assistants that deeply understand your business context and provide highly relevant, accurate responses.
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Experience the Hyperleap AI advantage With Built in RAG
Hyperleap's Dataspaces empower businesses to create genuinely domain-specific AI applications by effortlessly integrating their proprietary data with cutting-edge LLMs. By harnessing the vast knowledge within your organization, you can develop AI assistants that intimately understand your business context, deliver highly precise and relevant responses, and drive unparalleled value for your users. Request a demo today to witness how Hyperleap's Dataspaces can revolutionize your AI initiatives.
Yes, Hyperleap provides granular access controls for dataspaces, allowing you to specify who can view, modify, and query your data. You can assign roles and permissions to individual team members or groups, and use Hyperleap's audit logging and monitoring tools to track data access and ensure compliance with your security policies.
Hyperleap's Retrieval-Augmented Generation (RAG) system uses advanced techniques such as vector embedding and similarity search to efficiently retrieve relevant information from your dataspace and use it to augment the output of your AI models. This allows your models to generate more accurate, contextual, and informative responses based on your own proprietary data.
Yes, Hyperleap provides a range of connectors and integrations for popular data sources and repositories, including databases, cloud storage, and enterprise systems. You can use these connectors to import data into your dataspace, or to set up real-time data pipelines for continuous updating and synchronization.
Data security and privacy are top priorities for Hyperleap. All data stored in Hyperleap dataspaces is encrypted at rest and in transit using industry-standard protocols. Hyperleap also provides granular access controls, audit logging, and compliance certifications to help you meet your security and regulatory requirements.
Hyperleap dataspaces support a wide range of data types, including structured and unstructured text, images, audio, and video. You can upload data from various sources such as databases, APIs, and file systems, and use Hyperleap's data processing tools to clean, transform, and enrich your data.