LlamaIndex review
Data framework for LLM applications
4.6
Open Source— usersOpen Source
67
ToolHund Score
Solid
Verified
Our verdict
LlamaIndex focuses on ingesting, indexing and querying data for LLM apps, with agents, workflows and LlamaCloud for managed parsing.
ToolHund Score: 67/100 · Best for: Building RAG and agentic apps over private data with strong ingestion pipelines.
Strengths
- Open source
- Self-hostable
- Developer control
Weaknesses
- Requires setup
- Can be complex for beginners
- Needs careful permissions
Pricing
Open source · LlamaCloud usage-based
Strong for technical teams — no license fees, you pay for infra and model usage
Features
- Data connectors
- Indexes & retrievers
- Agents & workflows
- LlamaCloud parsing