LlamaIndex

LlamaIndex is a data framework focused on connecting your external data to large language models. Unlike generic LLM SDKs that mainly handle prompts and model calls, LlamaIndex provides structured tools for ingestion, indexing, retrieval, and query orchestration, making it easier to build reliable, data-aware applications such as RAG systems and knowledge assistants.

No. LlamaIndex is model-agnostic and can integrate with many LLM providers and open-source models. You can plug in your preferred model or switch providers over time without rewriting your entire data and retrieval stack.

Yes. LlamaIndex is designed to scale from prototypes to production. It offers modular components, caching, observability tools, and integrations that enable you to build robust, maintainable LLM applications suitable for real-world workloads.

LlamaIndex is open source, with core components released under permissive licensing to support both individual developers and commercial use. You should review the official repository and documentation for the most up-to-date licensing details.

LlamaIndex is a framework you run in your own environment. It does not operate as a hosted SaaS that automatically stores or transmits your data. Data handling depends on how you configure storage, models, and infrastructure in your deployment.