LlamaIndex
Data framework for retrieval over your own content
- Open source
- Agent Frameworks
What it is
LlamaIndex concentrates on the ingestion half of an LLM application: loading documents, chunking them, building indexes, and querying through retrievers and query engines. The storage layer is abstracted, so the same pipeline can sit on top of different vector stores and document databases. Agent and workflow abstractions are built on those retrieval primitives.
Best for
Retrieval pipelines over heterogeneous document sources where parsing, chunking and indexing are the hard part.
Where it falls short
The abstraction stack is deep, so diagnosing a bad answer often means unwinding several layers to see the prompt that was actually sent.
Characteristics
- rag
- ingestion
- retrievers
- query-engine
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