RETRIEVAL-AUGMENTED GENERATION
Enhance your AI with Retrieval-Augmented Generation
Unlock the full potential of your data with Kosmoy Studio's Retrieval-Augmented Generation (RAG) feature.
Our platform allows seamless integration of your data repositories, such as Microsoft OneDrive, Google Drive, Databricks, and Snowflake, directly into your GenAI applications. The intuitive data pipeline UI simplifies the entire process, from connecting data sources to vectorizing and storing it in vector databases, ensuring that your AI-driven solutions are equipped with the most relevant information.
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SEAMLESS DATA INTEGRATION
Kosmoy Studio's RAG feature supports multiple vector databases, providing the flexibility and scalability your business needs. Our user-friendly interface makes it easy to connect your existing data infrastructure, ensuring a smooth transition and minimal setup time. By vectorizing and chunking data efficiently, Kosmoy ensures that your information is ready to be leveraged by your GenAI agents.
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EMPOWER YOUR GENAI AGENTS
Once integrated, all GenAI agents created with Kosmoy Studio can access the vector databases, utilizing your data to enhance responses and performance. This capability is crucial for applications requiring comprehensive and accurate data, such as customer service automation, decision support, and operational efficiency. The RAG feature ensures that your AI solutions are not only smarter but also more contextually aware, providing superior outputs.
