LlamaIndex

Parsing documents that contain tables and hierarchical structures is where LlamaIndex gets its strongest praise, with accuracy on complex files described as remarkable.

LlamaIndex is an open source framework for building knowledge assistants, where large language models connect to enterprise data.

It is built for developers who want to prototype a RAG application quickly and then deploy it in production.

The retrieval pipeline can be customized for a specific use case, so you are not stuck with one fixed setup.

That control comes with a cost in effort.

Data pipelines can be complex to set up and configure, and tuning an implementation takes some technical expertise.

This is a developer framework, not a ready-made chat app.

LlamaIndex also has an active community, and the team is described as responsive when people ask for help.

The hosted LlamaCloud services run on credits, so heavier use may cost money.

If you are building document-heavy AI agents, chatbots or knowledge management systems and are comfortable writing code, this API and developer toolkit is a reasonable starting point.