Document agent and OCR platform; leading RAG framework with agent workflows
Key Features
Multi-Agent Single Agent Human-in-the-Loop Streaming Async Support Short-Term Memory Long-Term Memory Shared Memory Plugin System Custom Tools MCP Protocol Structured Output Self-Hosted Cloud Hosted
Community Feedback
Strengths
- Best-in-class RAG
- 150+ data connectors
- Battle-tested
- Strong Discord community
Weaknesses
- Scalability challenges with many agents
- Limited cloud features
- Fewer third-party integrations than LangChain
LlamaIndex Details
| Organization | LlamaIndex Inc |
| Organization Type | Company |
| Funding | Series a |
| Category | Framework |
| Subcategory | Orchestration |
| Deployment | Hybrid |
| Primary Language | Python |
| Runtime | Python 3.9+ |
| License | MIT |
| Commercial Use | Unrestricted |
| Install Command | pip install llama-index |
| GitHub Stars | 47,950 |
| GitHub Forks | 7,087 |
| Release Cadence | Weekly |
| Maturity | Mature |
| Pricing Model | Open core |
| Free Tier | MIT-licensed core is free |
| Self-Hosted Free | Yes |
| Cost Model | free + LLM costs |
| Community Size | Very large |
| Community Activity | Very active |
| Sentiment | Positive |
| GPU Required | No |
| Research Date | 2026-03-24 |
| LLM Providers | OpenAI, Anthropic, Google, Mistral, Cohere, Hugging Face, Ollama |
| API Keys Required | LLM provider API key |
Use Cases
- Retrieval-augmented generation (RAG)
- Document Q&A and analysis
- Multi-document agents
- Knowledge base construction
- Data ingestion and indexing pipelines
When to Use
Best for: RAG-heavy applications and document-centric AI workflows
Avoid when: Pure agent orchestration without data retrieval is the goal
Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a