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faster purchase decisions with brand assistant answering product queries
Redefine document workflows with AI agents
Build agentic workflows to extract information, synthesize insights, and take actions over the most complex enterprise documents.
The only end-to-end platform for redefining document workflows
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500M+
Documents processed
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4M+
package downloads a month
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200k+
LlamaCloud users
From finance to manufacturing to healthcare
LlamaIndex agents adapt seamlessly to dozens of industry-specific domains and scale effortlessly across hundreds of millions of documents.
Impact
10k
daily active users of internal company knowledge base
20%
accuracy boost for customer support agents
90%
developer time saved building investment analysis agents
3×
human productivity with AI agents in customer support
Products
Your
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documents.
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agents.
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way.
From high-accuracy parsing to a fully open agent framework — LlamaIndex gives you fully modular components to build document agents tailored to your data, your workflows, and your infrastructure.
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LlamaCloud
LlamaCloud powers enterprise-grade document automation with industry-best parsing, extraction, indexing, and retrieval — optimized for accuracy, configurability, and scalability.
LlamaParse
Industry-leading document parsing for 90+ unstructured file types — including support for embedded images, complex layouts, multi-page tables, and even handwritten notes.
LlamaExtract
Turn unstructured content into structured insights using schema-based, LLM-powered extraction agents. Build trust with page citations and confidence scores.
Index
Enterprise-grade chunking and embedding pipeline. Built to deliver precision and relevance in every retrieval call for best-in-class RAG.
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Workflows
Workflows is an event-driven, async-first workflow engine that orchestrates multi-step AI processes, agents, and document pipelines with precision and control.
Orchestrate AI Workflows
Easily chain together multiple steps, loop, and parallel paths.
Built for Speed
Async-first workflows that seamlessly integrate with modern Python apps, like FastAPI.
Event-Driven
Architecture for workflows you can launch, pause, and resume—statefully and seamlessly.
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LlamaIndex
LlamaIndex is a developer-first agent framework that rapidly accelerates time-to-production of GenAI applications with trusted low and high-level abstractions. Optimized for agents, RAG, custom workflows, and integrations.
Modular building blocks
Start building with core components like state, memory, human-in-the-loop review, reflection, and more.
Developer-First
Fully-featured Python and Typescript SDKs that easily embed into your existing tech stack.
Integrate Anywhere
Pre-built third party connectors for LLMs, data sources, vector DBs, and more.
Finance
From financial research and due diligence to automated invoice processing, leading banks, hedge funds, and fintechs are transforming workflows with AI.
Explore financeInsurance
Risk and protection leaders are turning unstructured data into action—streamlining underwriting, audits, and claim proccessing.
Explore insuranceManufacturing
Leading manufacturers are using AI to extract insights from specs, manuals, and inspection reports—faster and more accurately.
Explore manufacturingHealthcare
From medical records and handwritten doctor notes to insurance claims, healthcare providers are using AI to streamline clinical and administrative workflows.
Explore healthcarePartnerships that scale with your goals
We’ve helped leading AI teams go from prototype to production with real-world results.
Testimonials
As an Applied AI Data Scientist at one of the world's largest Private Equity Funds, I can attest that LlamaIndex's LlamaParse stands out as the premier solution for parsing complex documents in Enterprise RAG pipelines. Its exceptional handling of nested tables, complex spatial layouts, and image extraction is crucial for maintaining data integrity in advanced RAG and agent-based model development.
LlamaIndex’s framework gave us the flexibility we needed to quickly prototype and deploy production-ready RAG applications. The state of the art document parsing capabilities of LlamaParse have been particularly valuable – it handles our complex documents, including tables and hierarchical structures, with remarkable accuracy. The active community support and responsiveness of the LlamaIndex team meant we could quickly troubleshoot and optimize our implementations. What really stands out is how seamlessly we could customize the retrieval pipeline for our specific use cases while maintaining enterprise-grade performance. Salesforce Agentforce team has been leveraging LlamaIndex heavily.
LlamaCloud’s ability to efficiently parse and index our complex enterprise data has significantly bolstered RAG performance. Prior to LlamaCloud, multiple engineers needed to work on maintenance of data pipelines, but now our engineers can focus on the development and adoption of LLM applications.