# Plexe Documentation

## Docs

- [Welcome to Plexe](https://docs.plexe.ai/pages/introduction/welcome.md): Build ML models from natural language in minutes
- [Callbacks and Logging](https://docs.plexe.ai/pages/library/explanation/callbacks_logging.md): Monitor and interact with the Plexe model building process through callbacks and logging.
- [Core Concepts](https://docs.plexe.ai/pages/library/explanation/concepts.md): Understand the fundamental concepts behind the Plexe Python library.
- [Datasets and Schemas](https://docs.plexe.ai/pages/library/explanation/datasets_schemas.md): How Plexe handles data inputs and defines the structure of ML models.
- [LLM Providers](https://docs.plexe.ai/pages/library/explanation/providers.md): Understanding the role of LLM providers in the Plexe Python library.
- [Configure LLM Providers](https://docs.plexe.ai/pages/library/how-to/configure_llm_provider.md): Specify which Large Language Model providers and models Plexe should use for its agent system.
- [Installation](https://docs.plexe.ai/pages/library/how-to/install_plexe.md): Learn how to install the Plexe Python library with different dependency sets.
- [Provide I/O Schemas](https://docs.plexe.ai/pages/library/how-to/provide_schemas.md): Define the expected structure of your model inputs and outputs using Pydantic models or dictionaries.
- [Save and Load Models](https://docs.plexe.ai/pages/library/how-to/save_load_models.md): Persist trained Plexe models to disk and load them back for later use.
- [Use Datasets for Building Models](https://docs.plexe.ai/pages/library/how-to/use_datasets.md): Provide training and validation data to the model build process using Pandas DataFrames or DatasetGenerator.
- [API Reference](https://docs.plexe.ai/pages/library/reference/api.md): Complete reference documentation for the Plexe Python library API.
- [Callbacks Reference](https://docs.plexe.ai/pages/library/reference/callbacks.md): Detailed reference documentation for the callback system in the Plexe Python library.
- [Datasets Reference](https://docs.plexe.ai/pages/library/reference/datasets.md): Detailed reference documentation for dataset handling in the Plexe Python library.
- [Exceptions Reference](https://docs.plexe.ai/pages/library/reference/exceptions.md): Comprehensive guide to exception handling in the Plexe Python library.
- [Distributed Training with Ray](https://docs.plexe.ai/pages/library/tutorials/distributed_training.md): Leverage Ray for distributed and parallel model building with Plexe.
- [Quickstart](https://docs.plexe.ai/pages/library/tutorials/quickstart.md): Build your first ML model using the Plexe Python library in minutes.
- [Using Callbacks](https://docs.plexe.ai/pages/library/tutorials/using_callbacks.md): Instrument the model building process using built-in and custom callbacks
- [Authentication](https://docs.plexe.ai/pages/platform/explanation/authentication.md): Understanding authentication and security in the Plexe Platform.
- [Platform Concepts](https://docs.plexe.ai/pages/platform/explanation/concepts.md): Core concepts and architecture of the Plexe Platform.
- [Build Models via API](https://docs.plexe.ai/pages/platform/how-to/build_model_api.md): Initiate and configure machine learning model builds using the Plexe Platform REST API.
- [Manage Your Account](https://docs.plexe.ai/pages/platform/how-to/manage_account.md): Sign up, view account details, and monitor credit usage on the Plexe Platform.
- [Upload Data via API](https://docs.plexe.ai/pages/platform/how-to/upload_data_api.md): Upload your datasets to the Plexe Platform using the REST API.
- [Use Deployed Models](https://docs.plexe.ai/pages/platform/how-to/use_deployed_model.md): Learn how to make predictions with deployed models on the Plexe Platform.
- [Authentication API](https://docs.plexe.ai/pages/platform/reference/endpoints/auth.md): API reference for authentication, API keys, and user management on the Plexe Platform.
- [Data Management API](https://docs.plexe.ai/pages/platform/reference/endpoints/data.md): API reference for uploading, managing, and querying datasets on the Plexe Platform.
- [Models API](https://docs.plexe.ai/pages/platform/reference/endpoints/models.md): API reference for building, managing, and using machine learning models on the Plexe Platform.
- [Introduction](https://docs.plexe.ai/pages/platform/reference/introduction.md): Overview of the Plexe Platform API endpoints and authentication.
- [Quickstart](https://docs.plexe.ai/pages/platform/tutorials/quickstart_api.md): Build, deploy, and use your first model using the Plexe Platform REST API.

## OpenAPI Specs

- [openapi](https://docs.plexe.ai/openapi.yaml)

## Optional

- [Community](https://discord.gg/SefZDepGMv)
- [GitHub](https://github.com/plexe-ai/plexe)
- [Blog](https://plexe.ai/blog)