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Datavolo builds multimodal data pipelines for generative AI, helping engineers capture unstructured data for LLM applications. It replaces point-to-point code with fast, flexible, reusable pipelines.
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Datavolo is a data management platform designed to help engineers build better multimodal data pipelines specifically for generative AI. It enables the capture of all types of unstructured data required for large language model (LLM) applications. By replacing single-use, point-to-point code with fast, flexible, and reusable pipelines, Datavolo frees engineers to focus on innovation. The platform provides scalable pipelines that can grow in minutes without custom coding, offers instant configuration from any source to any destination, and ensures data lineage for trust. Powered by Apache NiFi, Datavolo is built to harness unstructured data and unleash AI innovation, supporting use cases like Retrieval-Augmented Generation (RAG) and advanced document processing.
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Paid · Enterprise
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