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lakeFS Acquires DVC, Uniting Data Version Control Pioneers to Accelerate AI-Ready Data

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lakeFS Named Cool Vendor™ in the 2026 Gartner® Coolest Vendor Innovations in Data Management

Tutorials

Beyond RAG: Put Open Knowledge Format Bundles Into Production with lakeFS

Beyond RAG: Put Open Knowledge Format Bundles Into Production with lakeFS

Traditional RAG often feels like a black box. Vector search is powerful, but hard to reason about, and that makes AI agent knowledge versioning nearly

AI Agent versioned filesystem with E2B and lakeFS

Give Your AI agent a Versioned Filesystem: A Self-Correcting Receipts Pipeline on E2B and lakeFS

In this post we build something most agent demos skip: an agent that does real work on real data, inside guardrails it can’t escape. The

Computer vision in healthcare: data version control and reproducibility

Computer Vision in Healthcare: Incorporating Data Version Control Into Your ML Workflow

Based on my presentation at PyData Global 2025. My colleague Yoav recently wrote about why reproducibility matters so much in healthcare AI and how data

Building Compliant and Reproducible ML Pipelines

Based on my presentation at PyData Global 2025 When we – engineers – hear the word “compliance,” we tend to roll our eyes. We want

MATLAB lakeFS integration

Adding Data Version Control Capabilities to MATLAB with lakeFS

Many lakeFS customers in the aerospace, automotive, healthcare & life sciences, and manufacturing industries also are heavy users of MATLAB. lakeFS solves a range of

Tutorial: lakeFS Iceberg REST Catalog

Versioned Data with Apache Iceberg Using lakeFS Iceberg REST Catalog

lakeFS Enterprise offers a fully standards-compliant implementation of the Apache Iceberg REST Catalog, enabling Git-style version control for structured data at scale. This integration allows

multiple storage backends support lakeFS

A Single Pane of Glass to Your Data: Multiple Storage Backends Support in lakeFS

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

Avoid data breaches using RBAC

How to Avoid Data Breaches by using RBAC 

Introduction Role-Based Access Control (RBAC) is an effective way to minimize the risk of data breaches by ensuring users only have access to the data

lakeFS Enterprise Tutorial

How To Get Started with lakeFS Enterprise: Step-by-Step Tutorial

What is lakeFS Enterprise? lakeFS Enterprise is a commercially-supported version of lakeFS, offering additional features and functionalities that meet the needs of organizations from a

Pull requests with lakeFS

Collaborating Over Data: Introducing Pull Requests in lakeFS

In modern software development, Pull Requests (PRs) are a fundamental tool for collaborating on code. They allow teams to review, discuss, and merge changes in

Automated testing in isolated environments

Automated Testing in Isolated Environments with GitHub Actions and lakeFS

Promoting ETL code for production is a straightforward process. We have our code – usually stored in Git – and want to build and test

lakeFS file representation guide

Guide To The lakeFS File Representation

Once you start using lakeFS, the files on your object store will form a new representation. The names and paths of the files on the

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