framework
LlamaIndex
LlamaIndex is a framework specializing in data connectors, indexing, retrieval, and agentic workflows over private and enterprise data.
Best for
- RAG-heavy and data-centric agents
- Enterprise document workflows
- Indexing and retrieval pipelines with agent layers
Pros and cons
Pros
- Excellent data ingestion and index abstractions
- Strong RAG + agent combination stories
- Broad connectors
Trade-offs
- Can be more than you need for non-RAG agents
- Architecture choices still require discipline
Overview
LlamaIndex excels when agents must reason over your data: ingest, index, retrieve, then act. It is often chosen for knowledge-worker and enterprise document agents.
Fit signals
Pick LlamaIndex when retrieval quality and data plumbing are the hard part of the product.