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LlamaIndex

Redefine document workflows with AI Agents

Build agentic workflows to extract information, synthesize insights, and take actions over the most complex enterprise documents.

Loved by developers, trusted by enterprises.

Massive Developer Community

Trusted by Startups and Enterprises as the leading developer tool for context augmented AI Agents.

4M+

Monthly Downloads

1.5k+

Contributors

200M+

Pages processed

150k+

LlamaCloud signups

Use Cases

LlamaIndex powers agentic document workflows within finance, insurance, manufacturing, retail, technology, and more

KPMG uses LlamaIndex as the foundational layer to deliver AI agents internally

“LlamaCloud's capabilities have played a significant role in helping standardize the development of enterprise knowledge assistants at KPMG. The platform's intuitive interface for configuring RAG pipelines allows us to leverage cutting-edge techniques while maintaining consistency. Its ability to handle multi-modal data embedded within documents during both ingestion and retrieval has been valuable in unlocking insights from our diverse enterprise corpora. LlamaCloud is a foundational capability in our AI & Data Center of Excellence, supporting our efforts to drive systematic AI adoption in a trusted manner.”

Swami Chandrasekaran

Head of AI & Data Labs

Build a leveraged buyout agent to automatically fill structured values from unstructured 10-Ks and earnings decks

"As an Applied AI Data Scientist who holds one of the first ML patents in the U.S. and leads AI development 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.”

Dean Barr

Applied AI Lead and Data Scientist

Leveraging LlamaCloud to to accelerate building and adoption of LLM applications

"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."

Yusuke Kaji

GM, AI for Business Dept., Rakuten Group

Handle customer FAQs and order cancellations with a chatbot

“Cemex, a global construction materials company, has successfully applied AI across its operations since 2018. LlamaCloud has significantly boosted our development process; from taking weeks to develop to delivering value in a few hours. The impressive capacities of LlamaCloud have enabled us to trust and rely on its parsing and indexing capabilities for our complex documents including those with heavy visual content. LlamaCloud has enabled our team to rapidly deliver multiple use cases to our various business stakeholders”

Daniel García Zapata

Senior Data Scientist

Extract knowledge and build AI Agents Rapidly

“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.”

Phil Mui

SVP of Technology, Head of Product & Engineering, Salesforce AI Research

Building an internal knowledge and automation platform

“Leading our organization's internal RAG assistant development, LlamaIndex's rich ecosystem of connectors and thoughtful abstractions has enabled us to rapidly iterate on complex data pipelines and LLM-powered solutions. What truly sets LlamaIndex apart is their team's ability to rapidly integrate cutting-edge research and embrace community contributions, enabling us to continuously experiment with state-of-the-art approaches. Their recent focus on Workflows demonstrates their forward-thinking approach, helping us stay at the forefront of generative AI innovation.”

Jean-Marc Saad

Automation Engineer

Building consumer facing research assistant on user uploaded documents

”Through our collaboration with the LlamaIndex team, we've been able to deeply explore and define the critical capabilities and essential standards for useful research AI assistants. LlamaIndex has proven to be an exceptional Agent development framework that enables our extensive experimentation, while LlamaCloud provides a reliable, packaged cloud service that significantly reduces our operational overhead in delivering services to users. Our engineering team now focuses on the end user application instead of the data infrastructure, leading to much higher engagement on the apps we ship.”

Junyuan Qi

VP Product

LlamaCloud

The world’s best document processing layer for your agents.

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Open Source

Leading orchestration framework for building context-augmented agents.

Python Typescript

Llamacloud

Document Processing, by agents for agents

Leverage the world’s leading document processing agents to convert unstructured knowledge to AI-ready data from 300+ formats, including PDFs, powerpoints, spreadsheets, and more. Unmatched accuracy and efficiency to power enterprise scale.

Automated context engine

Llamacloud handles this, so you can focus on building hallucination-free agents that provide actual enterprise ROI - whether it's financial document research, user-facing support agents, Q&A chatbots or questionnaire filling

Built for real-world complexity

Seamlessly parse and extract the most complex documents with handwritten notes, tables split across pages, images, low resolution scans, complex headers, charts, and more.

Scale with confidence

Agents that are fast, accurate, and cost-efficient with persistent data connectors designed to scale across millions of documents.

Community

Hundreds of community-contributed connectors, tools, datasets and more

Community Contributions

Explore a rich array of resources shared by millions of global developers. LlamaHub is your gateway to a community-built repository of connectors, tools,diverse datasets,and more.

Developer Network

Join a thriving network of developers who are shaping the future of agentic apps. Engage with peers, share insights, and stay informed with the latest. Your next big opportunity starts here.

Go from Zero to Agent Hero

Check out our extensive documentation for high-level explanations of essential building blocks, starter workflows, sample notebooks, and FAQs.

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