LlamaIndex

What is LlamaIndex?

LlamaIndex is a document-intelligence platform and open-source framework for building AI systems that work with complex enterprise data. Its LlamaParse product converts documents with tables, charts, images, and varied layouts into structured, model-ready output. Teams can then extract defined schemas, create indexes, and build multi-step document agents and workflows.

The platform is aimed at developers and document-heavy organizations that need more than plain text extraction. It uses task-specific processing for text, tables, charts, and other content, and includes auto-correction loops for document understanding. LlamaIndex also presents production infrastructure, access controls, encryption, uptime, support, SLAs, and flexible deployment options for enterprise workloads.

How to Use LlamaIndex

1. Create an account and choose a document-processing product such as Parse, Extract, or Index.
2. Upload or submit documents through the interface, SDK, or API.
3. Configure the desired parsing, extraction schema, or indexing behavior.
4. Review the structured output and connect it to an agent or downstream workflow.
5. Add workflow steps for search, review, classification, or other document operations.

Core Features

• Agentic OCR: Parses complex layouts into structured, model-ready content.
• Structured extraction: Pulls information into defined schemas.
• Specialized document processing: Routes text, tables, charts, and other elements to task-specific processing.
• Indexing: Prepares document collections for retrieval and agent use.
• Document workflows: Supports multi-step agents that can understand, reason over, and act on documents.
• Enterprise operation: Offers access controls, encryption, high-availability infrastructure, support, and deployment options.

Use Cases

• Financial analysis: Teams can process research material, due-diligence documents, and invoices.
• Insurance operations: Organizations can use unstructured records in underwriting, audits, and claims workflows.
• Technical document search: Engineering teams can make complex manuals and records available to AI assistants.
• Customer support: Agents can retrieve answers from document collections.
• Legacy IDP replacement: Businesses can modernize document processing without maintaining document-specific templates.

Pricing

The free plan includes 10,000 credits per month, which the site estimates at roughly 1,000 pages. It includes agentic OCR, schema-based extraction, and tools for building end-to-end document agents.

Frequently Asked Questions

What kinds of document content can LlamaParse handle?

The website highlights complex layouts, text, charts, tables, images, and other document elements.

Is LlamaIndex only for parsing?

No. Its products and framework also cover extraction, indexing, workflows, and deployment of document agents.