ActiveDeveloperOpen Source, MIT
LlamaIndex
Framework for RAG and document agents
LlamaIndex is a framework for LLM applications that work with your own data, especially RAG and document agents. It offers ingestion connectors, index structures, query engines and, with Workflows, an event-driven model for multi-step agents. LlamaCloud with LlamaParse adds document processing as a commercial service.
Good fit if
Focus: RAG applications and knowledge systems
- your project is about RAG, Document Q&A or Knowledge bases
- someone on your team writes code
Probably not if
- nobody on your team writes code (1/5 for use without developers)
- your team is just getting started with agents (skill level: Advanced)
- there is little time for training (learning curve: steep)
Key figures
- Usable without developers
- 1/5
- Scalability
- 5/5
- Integrations
- 4/5
- Versioning
- 2/5
- Observability
- 2/5
Editorial rating on a scale from 1 to 5. Methodology
Fact sheet
- Category
- Developer
- Type
- Framework for RAG and document agents
- Licence
- Open Source (MIT)
- Pricing
- Open SourceOpen source and free (MIT), LlamaCloud is paid
- Deployment
- Self-Hosted, Cloud, Any
- Models
- OpenAI, Anthropic, Google, Mistral, Ollama, Weitere über Integrationen
- RAG
- Yes
- Multi-Agent
- Yes
- SSO, roles (RBAC)
- SSO no, RBAC no
- Latest version
- 0.14.25
- GitHub stars
- 52,400
Key features
- RAG focus
- Data connectors
- Indexing
- Query engines and workflows
Typical use cases
- RAG
- Document Q&A
- Knowledge bases
Implementation
Get LlamaIndex implemented
Free for you. Partners only pay for requests they accept.
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