LlamaIndex
About
A data framework for LLM-based applications (RAG): connect data sources (APIs, databases, PDFs, docs) to LLMs with indexing, querying, retrieval, and agent orchestration.
Our Verdict
RecommendedThe most comprehensive data framework for LLM applications — 160+ connectors, RAG, and agent orchestration.
LlamaIndex is the de-facto standard for connecting real-world data to LLMs. Its 160+ connectors, flexible RAG pipeline, and increasingly capable agent orchestration make it the go-to choice for production LLM applications. The learning curve is real, but the ecosystem is mature.
Best for
- •Developers and teams building production RAG pipelines, data agents, or LLM-powered applications with diverse data sources.
Consider alternatives if
- •If you need a simpler, more opinionated framework, consider LangChain; if you need a fully managed solution, consider LlamaCloud or commercial RAG platforms.
Supported Platforms
Available platforms include Windows, macOS, Linux, and API.
Key Features
Pricing
Use Cases
Pros
Cons
Latest Update
August 2026: LlamaIndex continues active development with expanded data source connectors, improved agent orchestration, and LlamaCloud managed service enhancements.
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