Digging into new AI models is one of the most exciting parts of my job here at Datavolo. However, having a new toy to play with can easily be overshadowed by the large assortment of issues that come up when you’re moving your code from your laptop to a production...
Unstructured Data
Tutorial – How to Convert to ONNX®
Converting from Pytorch/Safetensors to ONNX® Given the advantages described in Onward With ONNX® we’ve taken the opinion that if it runs on ONNX that’s the way we want to go. So while ONNX has a large model zoo we’ve had to convert a few models by hand. Many models...
Survey Findings – Evolving Apache NiFi
Survey of long time users to understand NiFi usage Datavolo empowers and enables the 10X Data Engineer. Today's 10X Data Engineer has to know about and tame unstructured and multi-modal data. Our core technology, Apache NiFi, has nearly 18 years of development,...
Datavolo Announces Over $21M in Funding!
Datavolo Raises Over $21 Million in Funding from General Catalyst and others to Solve Multimodal Data Pipelines for AI Phoenix, AZ, April 2, 2024 – Datavolo, the leader in multimodal data pipelines for AI, announced today that it has raised over $21 million in...
Datavolo Architecture Viewpoint
The Evolving AI Stack Datavolo is going to play in three layers of the evolving AI stack: data pipelines, orchestration, and observability & governance. The value of any stack is determined by the app layer, as we saw with Windows, iOS, and countless other...
GenAI/RAG is “Homecoming for NiFi”
While NiFi has been developed, enhanced, and hardened over the last 17 years, it feels as if GenAI is the very purpose for which it was originally developed.