Developer tools
LlamaIndex
A framework and managed platform for document ingestion, retrieval, workflows, and knowledge agents.
LlamaIndex supplies open-source libraries and managed services for connecting AI applications to documents and enterprise data. Its tools cover document parsing, indexing, retrieval, workflows, and agents that reason over private knowledge.
Key features
- Document ingestion, indexing, and retrieval libraries
- Managed parsing and agent workflow services
Pros and tradeoffs
Strengths
- Focused tooling for retrieval and document-centered AI applications
Consider before choosing
- Production data pipelines still require evaluation and operational monitoring
What people use LlamaIndex for
- Build assistants and workflows grounded in private documents or organizational data
Frequently asked questions
What kind of data does LlamaIndex work with?
It is designed to ingest, index, retrieve, and reason over documents and other connected private data sources.
