LlamaIndex
7.1#4 in llm application development frameworksFrom $50 a monthFree planWebAPILinuxSelf-hosted
VisitLlamaIndex vs OpenRAG
What both publish
| Fact | LlamaIndex | OpenRAG |
|---|---|---|
| Integrations | LlamaIndex documents community integrations for data loaders, agent tools, LLMs, vector stores, observability, and application frameworks. | The product documents compatibility with OpenAI API clients and names Open WebUI, LangChain, n8n and Twake.ai as integrations. |
| Purpose | LlamaIndex helps developers and enterprises automate document processing and build AI workflows around documents. | OpenRAG is a modular framework for building document-grounded retrieval-augmented generation systems. |
| Security | The pricing FAQ says LlamaParse is certified for SOC 2 Type II, GDPR, and HIPAA. | The site describes fail-closed scopes, verified outbound connections, redacted secrets, non-root containers, rate limiting and security headers. |
| Support | The listed support levels are community for Free, basic email support for Starter, priority Slack Connect for Pro, and dedicated support for Enterprise. | The product site directs technical questions to GitHub issues and links to documentation and a contact form. |
LlamaIndex plans
- Starter$50 a month
- Pro$500 a month
- EnterprisePriced on request
- Free—
OpenRAG plans
- OpenRAG (AGPL-3.0 self-hosted)Free
- Managed OpenRAG servicePriced on request
Pick LlamaIndex if…
LlamaIndex is for developers and enterprises automating document workflows and knowledge work. Its parsing, extraction, classification, and RAG indexing capabilities suit teams building AI applications around document content.
Pick OpenRAG if…
OpenRAG may suit teams building document-grounded assistants, legal search, or multimodal enterprise question answering. It is aimed at deployers able to provide the listed infrastructure and manage their own deployment.