From 5abfdbaffa7d0b590ba9fc25c1d259e178f96d1f Mon Sep 17 00:00:00 2001 From: Jinyang Wang Date: Fri, 16 Jan 2026 21:34:29 +0400 Subject: [PATCH] add pydantic ai --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 990bbaa51..df3ed0048 100644 --- a/README.md +++ b/README.md @@ -733,6 +733,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git - [Metrics](https://github.com/benhamner/Metrics) - Machine learning evaluation metrics. - [MindsDB](https://github.com/mindsdb/mindsdb) - MindsDB is an open source AI layer for existing databases that allows you to effortlessly develop, train and deploy state-of-the-art machine learning models using standard queries. - [PraisonAI](https://github.com/MervinPraison/PraisonAI) - Production-ready Multi-AI Agents framework with self-reflection, 100+ LLM support, MCP integration, and agentic workflows. +- [pydantic-ai](https://github.com/pydantic/pydantic-ai) - A Python agent framework for building generative AI applications with structured schemas. - [RAGFlow](https://github.com/infiniflow/ragflow) - An open-source RAG engine for document understanding and question answering with LLMs. - [scikit-learn](http://scikit-learn.org/) - The most popular Python library for Machine Learning. - [Spark ML](http://spark.apache.org/docs/latest/ml-guide.html) - [Apache Spark](http://spark.apache.org/)'s scalable Machine Learning library.