Open-source vector & data lake to debug, curate and version AI data

In plain words

katiML is an open-source vector and data lake platform that helps teams manage and improve the quality of their AI training data. It provides interactive embedding visualization, similarity search, and tools to identify mislabeling and hallucinations in datasets. The platform enables data curation for training and fine-tuning models, includes explainability features to detect data drift and bias, and offers an efficient ML data lake for storing and querying vectors and metadata. It's designed for teams building AI systems who want to avoid poor outcomes from low-quality input data.

written from the facts on this page · September 2026

From the sources

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In the maker’s words, at launch

Hi HN! I’m Farah, co-founder of Dioptra.ai. We just open sourced katiML (https://github.com/dioptra-ai/katiml) this week and wanted to get your take. katiML is a vector+data lake to debug, curate and version AI data. With katiML, teams avoid the “garbage in, garbage out” effect by taking control…

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