// TAG: PYDANTIC

Learn how to define extraction tasks and schemas for data extraction using LangExtract and Pydantic.

Learn how to handle data input in FastAPI using Pydantic models and request bodies for structured data validation.

Connect on-device Speech-to-Text (STT) output to a local TinyLLM for intent recognition and entity extraction, forming the core of your AI agent.

Learn to build a simple CRUD API using FastAPI and Pydantic for data validation.

Learn how to design and implement robust AI guardrail systems to ensure safety, reliability, and compliance for your AI applications in production.

Learn how to use LangExtract and Pydantic to extract key information from legal contracts.

Learn to build a LangExtract solution for extracting structured financial data from reports.

Step-by-step tutorial: Build a REST API with FastAPI. A functional REST API using FastAPI, demonstrating setup, route definition, data validation, …

Learn how to refine user registration and login flows in a FastAPI application, including data validation, password hashing, and secure user …