[LlamaIndex](https://github.com/run-llama/llama_index) is a data framework for LLM-based applications that benefit from context augmentation.
LlamaIndex is a data framework for LLM-based applications that benefit from context augmentation.
Here we provide cookbooks for building LLM applications using Anthropic and LlamaIndex.
Basic_RAG_With_LlamaIndex.ipynb - Notebook to help you build RAG pipelines with LlamaIndex.Router_Query_Engine.ipynb - Notebook to help you use RouterQueryEngine to route user queries to different indices.SubQuestion_Query_Engine - Notebook to help you to use SubQuestionQueryEngine to answer complex user queries spanning multiple documents.ReAct_Agent.ipynb - Notebook to help you to use ReActAgent for using Tools and QueryEngine Tools.Multi_Document_Agents.ipynb - Notebook to help you build an efficient RAG pipeline for a large number of documents.Multi_Modal.ipynb - Notebook to help you build Multi-Modal applications using LlamaIndex.