Argilla

Argilla is a collaboration tool for AI engineers and domain experts to build, label, and manage datasets for training and evaluating AI models.

Argilla allows AI engineers and domain experts to curate and label datasets for machine learning projects. Users interact with data using filters, semantic search, and AI-assisted feedback suggestions. It supports various data types, including traditional NLP tasks like text classification and named entity recognition, LLM workflows such as RAG and preference tuning, and multimodal models. The tool enables teams to manage their own data ownership throughout the training process. Users can deploy the server on platforms like Hugging Face Spaces and interface via a Python SDK.

Argilla at a glance

Best for: Software engineer, Researcher
Runs on: Web, API, self-hosted
Pricing: Open source
Released: April 2021
Category: AI coding tool
Website: github.com/argilla-io/argilla

Key features

Programmatic workflow creation
Human feedback collection
AI-assisted labeling suggestions
Dataset semantic search
Custom data filtering and management
Cross-team collaboration interface

Use it for

Classifying and routing support requests
Validating multi-label classifiers for customer support
Curating datasets for research studies
Creating datasets for LLM preference tuning and RAG

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