LlamaIndex vs Ragas

Choose LlamaIndex if…

Best for developers building retrieval-augmented generation apps that need to query private or enterprise data, and its edge is a wide library of data connectors that ingest PDFs, wikis, and databases into a queryable index. The strongest RAG-specific framework available, expect real overlap and some redundant decisions against LangChain. Lean toward Ragas instead if purpose-built metrics like Faithfulness measure specific RAG failure modes other eval tools don't target directly matters more for your use case.

Choose Ragas if…

Best for developers who need to evaluate RAG pipeline quality without large-scale human-labeled ground truth, and its edge is purpose-built metrics like Faithfulness measure specific RAG failure modes other eval tools don't target directly. The right tool once you need systematic RAG evaluation, it only covers evaluation, not the retrieval pipeline itself. Lean toward LlamaIndex instead if a wide library of data connectors that ingest PDFs, wikis, and databases into a queryable index matters more for your use case.