---
title: "LlamaIndex <> Claude Cookbooks"
description: "[LlamaIndex](https://github.com/run-llama/llama_index) is a data framework for LLM-based applications that benefit from context augmentation."
type: skill
canonical_url: https://claudary.paisolsolutions.com/skills/readme-53
source: "Claudary"
difficulty: intermediate
author: "Claude Code Knowledge Pack"
date: 2026-07-10T11:36:38.436Z
license: CC-BY-4.0
attribution: "LlamaIndex <> Claude Cookbooks — Claudary (https://claudary.paisolsolutions.com/skills/readme-53)"
---

# LlamaIndex <> Claude Cookbooks
[LlamaIndex](https://github.com/run-llama/llama_index) is a data framework for LLM-based applications that benefit from context augmentation.

## Overview

# LlamaIndex <> Claude Cookbooks

[LlamaIndex](https://github.com/run-llama/llama_index) 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.

1. `Basic_RAG_With_LlamaIndex.ipynb` - Notebook to help you build RAG pipelines with LlamaIndex.
2. `Router_Query_Engine.ipynb` - Notebook to help you use `RouterQueryEngine` to route user queries to different indices.
3. `SubQuestion_Query_Engine` - Notebook to help you to use `SubQuestionQueryEngine` to answer complex user queries spanning multiple documents.
4. `ReAct_Agent.ipynb` - Notebook to help you to use `ReActAgent` for using Tools and QueryEngine Tools.
5.  `Multi_Document_Agents.ipynb` - Notebook to help you build an efficient RAG pipeline for a large number of documents.
6.  `Multi_Modal.ipynb` - Notebook to help you build Multi-Modal applications using LlamaIndex.

[Documentation](https://docs.llamaindex.ai/en/stable/)
[Discord](https://discord.gg/dGcwcsnxhU)
[Twitter](https://twitter.com/llama_index)
[Linkedin](https://www.linkedin.com/company/llamaindex/)

---

Source: [Claudary](https://claudary.paisolsolutions.com/skills/readme-53) · https://claudary.paisolsolutions.com