An inside look at Cohesity Gaia
Cohesity Gaia offers a comprehensive solution that caters to the unique requirements of enterprises. Our data security and management platform, the Cohesity Data Cloud, provides the necessary tools to handle diverse data types, ensure data consistency, and maintain a high level of security while enabling powerful analytics capabilities.
Architecture: Cohesity Gaia’s architecture consists of a control plane (Gaia-CP) and a data plane (Gaia-DP) that work together to manage and process enterprise data. The control plane is responsible for orchestrating various workflows, managing data models, and providing APIs for user interactions. The data plane is responsible for accessing and indexing the data stored in the Cohesity cluster. With Cohesity Gaia’s Embedding Service (Gaia-ES), enterprises can effectively extract text from various file formats, create semantic indexes on the data, and use these indexes to gain deeper insights into their data.
Infrastructure: Cohesity Gaia is designed with flexibility in mind. Design decisions made today are meant to support the deployment of its components on the cloud, on-prem, or a hybrid of both in the future.
Security: Security is a top priority for enterprises, and Cohesity Gaia addresses this through the implementation of fine-grained, specialized RBAC policies. These policies restrict access to Cohesity Gaia APIs, ensuring that only authorized users can access specific data sets. This helps balance data accessibility for RAG applications with the need to protect sensitive information.
Start with Cohesity DataProtect first
Organizations start with data protection from Cohesity and then use their high-quality backup data for Cohesity Gaia’s AI-powered conversational questions and responses.
Customers can:
Back up data using Cohesity DataProtect: Protect cloud-native, SaaS, and on-prem data at scale with Cohesity. Our unique backup capabilities improve RPO, offer flexible recovery capabilities such as instant mass restore, minimize RTO, and make backup data from Cohesity AI-ready.
Use RAG and LLM on backup data: The data is applied to a LLM and our RAG AI technologies, creating a unique AI index built on your own data.
Get business insights faster: Start having a conversation with your data. Using common language, ask questions about your data and await responses. Ask follow-up questions, dig deeper into datasets, and let Cohesity Gaia support more in-depth data analysis.
Here’s how Cohesity Gaia works
1. Data indexing
Data: Connect your data to Cohesity Gaia in any format from Cohesity-managed backups. Initially, Cohesity Gaia will support M365 and OneDrive data from our Cohesity Data Cloud. We plan to support more data sources and targets in future releases.
AI processing and indexing: Cohesity Gaia vectorizes the data, creating a baseline for answering questions on your enterprise data. Cohesity stores the generated vectors in a specialized database optimized for dimensional vector search to provide more contextual-rich responses.
2. Answer generation
Use Cohesity Gaia for seamless RAG AI search experiences: When users ask business questions within Cohesity Gaia, Cohesity uses RAG AI to increase the accuracy of answers by passing relevant retrieved data as context to foundation models. Azure OpenAI LLM is supported at launch.
Contextually-rich answers: Cohesity Gaia delivers generative answers and insights based on questions and your enterprise data.
Looking for an even deeper dive? Check out the Cohesity Gaia architecture in this whitepaper.