LlamaIndex
The data framework for connecting LLMs to your documents, plus LlamaParse for hard PDFs.
Visit LlamaIndex Free open source; LlamaCloud free credits, then usage-based
Quick verdict
- Best for
- Teams building RAG over documents and PDFs
- Pricing
- Free open source; LlamaCloud free credits, then usage-based
- Not ideal if
- Abstractions can hide what the model actually sees
What is LlamaIndex?
LlamaIndex is an open-source framework for building RAG and agent applications over your own data, with connectors to hundreds of sources and LlamaCloud, its managed service, whose LlamaParse handles complex PDFs, tables, and scanned documents better than most parsers.
Key features
- Loaders for hundreds of data sources
- Indexing, chunking, and retrieval strategies out of the box
- Agent workflows with tool use
- LlamaParse for tables, layouts, and scanned PDFs
- Python and TypeScript
Pros
- Best-in-class document parsing for messy enterprise files
- Retrieval building blocks are more focused than LangChain's
- Strong docs and examples
Cons
- Abstractions can hide what the model actually sees
- LlamaParse credits go quickly on large document sets
- Rapid API changes across versions
Best for
Teams building RAG over documents and PDFsEnterprise knowledge assistantsDevelopers who want retrieval done well without inventing it
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