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@@ -728,6 +728,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
 - [Feature-engine](https://github.com/feature-engine/feature_engine) - sklearn compatible API with the widest toolset for feature engineering and selection.
 - [H2O](https://github.com/h2oai/h2o-3) - Open Source Fast Scalable Machine Learning Platform.
 - [LangChain](https://github.com/langchain-ai/langchain) - Building applications with LLMs through composability.
+- [LlamaIndex](https://github.com/run-llama/llama_index) - A data framework for your LLM application.
 - [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.