LlamaIndex

LlamaIndex is a high-level framework for building retrieval-augmented generation (RAG), agentic, and event-driven workflow applications with large language models (LLMs) in Python and TypeScript.

It helps you ingest and parse data from several sources, build indexes, retrieve relevant context, and synthesize answers. LlamaIndex integrates with many hosted LLM APIs and also supports local models—for example, via Ollama.

Official website: developers.llamaindex.ai

Python LlamaIndex: Step by Step RAG With Examples

Tutorial

LlamaIndex in Python: A RAG Guide With Examples

Learn how to set up LlamaIndex, choose an LLM, load your data, build and persist an index, and run queries to get grounded, reliable answers with examples.

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By Leodanis Pozo Ramos • Updated Sept. 29, 2026 • Reviewed by Martin Breuss
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