Ingest your unstructured data with Apache NiFi & Datavolo

Datavolo is a tool for data engineers supporting AI teams. Datavolo provides a framework, feature set, and a catalog of repeatable patterns to build multimodal data pipelines which are secure, simple, and scalable.

In order for enterprises to get the most value out of integration with foundational language models, they also need to include their own business data, since these models were not pre-trained on their specific data. We strongly believe that successful AI apps will be built on AI systems, not directly on top of AI models, and that useful AI systems must include the ability to retrieve contextual data from enterprise data systems to supplement the generative capabilities of LLMs and drive business value.
Datavolo's core value proposition entails:

• Datavolo provides a visual, low-code experience that is easy to use and ships with hundreds of out-of-the-box integrations to the AI ecosystem–sources, targets, embedding models, LLMs, vector databases and more This drives development velocity, without sacrificing solution quality and promotes reuse and modularity of solutions, avoiding wasted effort across the enterprise
• Datavolo supports continuous and scalable event-based ingestion Including critical data engineering capabilities, such as, error handling, observability, scheduling, data governance & security
• Datavolo provides flexibility to easily swap APIs, change transformations, sources, destinations, & models Extensibility with custom Python processors
• Datavolo automatically captures data provenance and lineage out-of-the-box for all dataflows