LlamaIndex vs smolagents

Pick two tools from the same category to compare side-by-side.

	LlamaIndex Data framework for connecting LLMs to private data, with RAG, agents, and event-driven workflows.	smolagents Hugging Face's minimalist agent library where agents act by writing and running code.
Category	framework	framework
Vendor type	hybrid	open source
Pricing	freemium	free
Strengths	+ Extensive data connectors and RAG tooling + Strong document parsing and ingestion (LlamaParse/LlamaCloud) + Agents and event-driven workflows built in + Large ecosystem and integrations	+ Minimal, readable codebase with few abstractions + Code-agent approach can reduce steps and LLM calls + Model-agnostic via LiteLLM and the Hub + Sandboxed execution options (E2B, Modal, Docker)
Tradeoffs	− Broad API surface can be complex to navigate − Heritage is RAG-centric rather than agent-first − Frequent API changes across versions	− Minimalism means fewer built-in features for complex orchestration − Executing model-written code requires careful sandboxing − Younger, smaller ecosystem than larger frameworks
Used in stacks	0	0