Onyx vs LlamaIndex

	Onyx AI search and chat across your company apps. Visit	LlamaIndex Data framework for LLM apps and knowledge agents Visit
Votes	0	0
Pricing	Freemium	Freemium
Category	Enterprise Search	Ai Agents
Tags	ai-assistantenterprise-searchopen-sourcepractical-ossragself-hosted	llm-frameworkragdocument-parsingopen-sourceknowledge-agents
Best for	Engineering-capable teams Security and privacy-focused organizations Companies avoiding vendor lock-in	Document-heavy RAG applications Enterprise knowledge agents Teams needing reliable PDF parsing
Pros	Open-source and MIT-licensed with free self-hosting 40+ connectors to common workplace apps Model-agnostic, works with any LLM Granular access controls and data residency Active GitHub community and rapid development	Open-source frameworks are free (MIT) Strong focus on retrieval and data quality LlamaParse excels at complex document parsing Managed LlamaCloud for production data workflows Python and TypeScript support
Cons	Self-hosting requires engineering effort to deploy and maintain Less polished onboarding than turnkey SaaS No native mobile app Advanced/enterprise features may need the paid tier Support for self-hosters is community-driven	Overlaps with LangChain, adding decision fatigue LlamaCloud credit costs scale with document complexity Framework surface area has grown large Fast-moving APIs can change between versions Advanced agent features less mature than dedicated agent frameworks

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