| Description |
| Summary |
LLM application framework and commercial platform for RAG, document agents, parsing, indexing, extraction and agentic document workflows.
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| Description |
LlamaIndex provides open-source LLM app frameworks and commercial services including LlamaParse, LlamaCloud and document agents. It is strongly positioned around RAG, private data, document parsing/extraction and agentic document workflows.
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| Positioning |
AI agents for document OCR and workflows
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| Key facts |
| HQ location |
San Francisco, CA, USA
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| Founded |
2023
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| Employee range |
11-50
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| Funding stage |
Series A
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| Company type |
Private
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| Pricing model |
licensing open source
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| Last updated |
Jun 21, 2026
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| Financials |
| Revenue estimate |
Unknown / not publicly disclosed
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| Valuation estimate |
Unknown
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| Investments |
$27.5M total funding; $19M Series A in 2025
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| Relationships |
| Target customers |
Developers, AI product teams and enterprises using private documents/data with LLMs
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| Key competitors |
LangChain, Haystack/deepset, Vellum, LangSmith, Pinecone, Unstructured
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| Known customers |
Experian, Delphi, Lyzr and other public case-study customers
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| Segments & Industries |
| Segments |
AI Workflows, AI Agents, AI Developer Tools, Knowledge & RAG, Document AI, LLM Deployment, AI Quality & Observability, AI Governance & Risk, Analytics & BI
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