LlamaIndex
The LlamaIndex repository describes a document processing platform for AI applications.
About LlamaIndex
LlamaIndex is a document processing platform for AI with an open-source Python framework for RAG and agent applications. Building typically uses core plus selected integration packages for LLMs, embeddings and vector stores. LlamaParse is a separate platform focused on document agents and agentic OCR that works with the framework or standalone, while the project notes its primary focus has shifted toward parsing and that the README is updated less often than the documentation.
Pricing is not clearly stated.
Key features
- Start with starter llama-index package or install llama-index-core with chosen integrations
- Use over 300 integration packages for preferred LLM, embedding and vector store providers
- Parse documents with agentic OCR across 130+ formats
- Extract structured data from documents
- Ingest, index and run RAG pipelines
- Split large documents into subcategories
- Build end-to-end document agents with Workflows and Agent Builder
Best for: Developers building RAG and agent applications
Watch out for
- Primary focus has shifted from the framework toward LlamaParse and related parsing efforts
- README is not updated as frequently as the documentation
- LlamaParse use requires an account and API key
LlamaIndex at a glance
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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