The lakeFS Blog
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Today’s organizations don’t just use a single data storage solution – they operate across on-prem servers, multiple cloud providers, and hybrid environments. This distributed approach
- Tal Sofer
A solid AI infrastructure is essential for efficiently developing and deploying AI and machine learning (ML) applications – from facial and speech recognition to text
- Idan Novogroder
With the volumes of generated data increasing, metadata has become an essential component in organizing and comprehending massive datasets. Metadata plays a key role in
- Idan Novogroder
In today’s data-driven world, businesses don’t just rely on data – they are built on it. But as data infrastructure sprawls across on-prem systems, multiple
- Tal Sofer
Many companies are modernizing their data storage infrastructure to capitalize on the opportunities of machine learning (ML) and advanced analytics. However, teams face several unique
- Tal Sofer
Supercharging Machine Learning Machine learning (ML) is essential in driving critical business decisions and innovation across various industries. To maintain competitive advantages, organizations continually refine
- Barak Amar
Training a Large Language Model (LLM) such as ChatGPT or DeepSeek is a complicated, data-intensive process. As a young discipline, best practices and tool chains
- Nadav Steindler
This article discusses AI Agents in business and automation, focusing on building an AI Agent using lakeFS, LangChain, OpenAI, and FAISS (Facebook AI Similarity Search)
- Amit Kesarwani
Managing complex and massive data sets is tricky but metadata management tools can help teams keep their data in shape. Metadata management has become critical
- Tal Sofer
One of the capabilities of lakeFS is that you can use it to create isolated environments for experimentation or development. Let’s say we want to
- Oz Katz
When I first joined lakeFS by Treeverse in 2020, we were just four engineers building an open-source solution for data versioning. It was exhilarating—being part
- Barak Amar
