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The data framework for LLM applications
LlamaIndex is a data framework for building LLM applications that connect language models to private and enterprise data. It provides tools for ingesting, indexing, and retrieving documents, powering retrieval-augmented generation, agents, and complex document workflows. Its open-source libraries are widely used, and LlamaCloud offers managed parsing, indexing, and retrieval for production teams.
LlamaIndex is popular with developers building question-answering systems, chatbots, and document automation over unstructured data. It handles the messy work of loading data from many sources, chunking and embedding it, and retrieving the right context for a query. LlamaParse, its document parsing service, is a common entry point for teams dealing with complex PDFs and spreadsheets.
Pricing Model
FREEMIUM
Starting Price
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Free Options
Free version
| Feature | Open Source | LlamaCloud Popular |
|---|---|---|
| Python and TypeScript libraries | — | |
| Data connectors and readers | — | |
| Vector store integrations | — | |
| Agent abstractions | — | |
| Community support | — | |
| Managed parsing with LlamaParse | — | |
| Hosted indexing and retrieval | — | |
| Usage-based pricing | — | |
| Team collaboration | — | |
| Priority support | — |
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
Data Residency Options
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High-performance open-source vector database
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