README.md
LlamaIndex is a data framework for LLM applications: load data, build indexes, and query them with retrieval-augmented generation or agentic workflows.
pip install llama-index
Explore / LlamaIndex
run-llama
LlamaIndex
Data framework for connecting custom data sources to LLMs — ingestion, indexing, retrieval.
★ 50,684⑂ 7,697● Python⚖ MITupdated 4 days ago
Continue your stack
What teams reach for next — and why each earns a place beside LlamaIndex.
Pairs well with
Ragas
Evaluation toolkit for your RAG and agent pipelines — faithfulness, relevance, and more.
Why it fitsEvaluate your RAG pipeline's retrieval and answer quality.
olmocr
Open toolkit that linearizes messy PDFs — scans, tables, equations, handwriting — into clean ordered Markdown with a self-hosted vision-language model. Built for LLM training data and RAG ingestion.
Why it fitsolmocr is the document-parsing front-end; LlamaIndex is the indexing/retrieval layer. Run messy PDFs through olmocr to get clean text, then hand that text to LlamaIndex to chunk, embed, and retrieve — a natural two-stage RAG-ingestion pipeline.