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Datavolo

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Multimodal data pipelines for generative AI

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Datavolo is a dataflow infrastructure platform for building multimodal data pipelines for generative AI. Powered by Apache NiFi, it enables users to capture, process, and route unstructured data to large language models (LLMs) with minimal custom coding. Key capabilities include fast and scalable pipeline creation that grows with user needs, endlessly changeable configurations from any source to any destination, and full observability with built-in data lineage. Datavolo replaces single-use, point-to-point code with reusable visual pipelines, freeing teams to focus on AI innovation. It integrates with major data and AI platforms such as Snowflake, Databricks, Vectara, and Pinecone, and supports advanced use cases like document processing and retrieval-augmented generation (RAG).

Key Benefits

  • Fast and scalable pipeline creation
  • Endlessly changeable configurations
  • Fully observable with built-in data lineage
  • Built on open-source Apache NiFi

starting price

$36,000 annually/ yearly(starter)

tags
GenerativeMultimodalData PipelineUnstructured Data
integrations
snowflakedatabricksvectarapinecone
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