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LlamaIndex Inc. builds agentic document OCR and AI agent platforms for automating knowledge work. LlamaParse offers commercial document parsing, while the open-source LlamaIndex and Workflows frameworks power knowledge assistants and document workflows.
Read-only public captures of LlamaIndex’s homepage and verified pricing page. Screenshots are dated, never live embeds, and open full-screen.
Short answers to the questions buyers and builders commonly ask about LlamaIndex. Each answer cites the shared ledger below, where every source is listed once.
Agentic OCR for layout-aware document parsing with structured extraction of defined schema · VLM-powered document understanding agents with auto-correction loops for messy scans and m · Agentic document OCR that turns messy, multi-modal documents into structured, reliable dat · LlamaAgents enables developers and enterprises to build reliable document workflows from i
Agentic OCR for layout-aware document parsing
Adopted by the Fortune 50 and the world's leading AI startups, with millions of developers
our products are used by millions of developers with widespread adoption across the Fortune 50 and the world's leading AI startups
Building document agents over FAQs, knowledge bases, policies, tickets, and product manual · Due diligence research: review public filings and information at scale to identify potenti · 10-K/10-Q summarizer for analyzing complex reports at record speeds. · SEC filing digester that flags risk factors, legal language, and revisions.
LlamaIndex helps support teams build agents over FAQs, knowledge bases, policies, tickets, and product manuals
Reliably connecting each extracted value to its exact supporting evidence (grounding) rema
Grounding remains an open challenge. Systems are increasingly good at naming the source page for extracted values, but reliably connecting each value to its exact supporting evidence is not completely solved, by anyone.
Credit-based pricing: 1,000 credits = $1.25 · LlamaExtract Agentic Plus tier at 8.1¢ per page
1,000 credits = $1.25.
Developer access via Python and TypeScript SDKs plus APIs with fine-tuned control. · Python and TypeScript SDKs and APIs with fine-tuned control
Python and Typescript SDKs, APIs, and fine-tuned control
This profile connects the jobs LlamaIndex is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
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LlamaIndex | AI Agents for Document OCR + Workflows
LlamaIndex Inc. based in San Francisco · Mission to automate knowledge work beginning with documents · LlamaParse is a commercial document OCR and workflow automation platform
Agentic OCR for layout-aware document parsing with structured extraction of defined schemas
VLM-powered document understanding agents with auto-correction loops for messy scans and multi-modal documents
LlamaParse is a commercial document OCR and workflow automation platform
LiteParse is a fully open-source local document parsing library for PDFs, Office docs, and images
LlamaParse is not open source; the LlamaIndex and Workflows projects are open source
Building document agents over FAQs, knowledge bases, policies, tickets, and product manuals for customer support teams
Runs in a secure cloud SaaS tenant or can be deployed fully in a private VPC across all cloud providers
Available on the AWS and Microsoft Azure marketplaces
HIPAA, GDPR, and SOC2 compliant out-of-the-box with granular access controls and enhanced data encryption
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
LlamaIndex published ExtractBench, a benchmark for evaluating data extraction from enterprise documents, alongside related LlamaExtract and research paper materials.
View source [6]LlamaIndex announced ExtractBench, a benchmark for evaluating data extraction from enterprise documents, alongside product and insights coverage of the release.
View source [6]LlamaIndex published a one-year retrospective on LlamaParse, positioning it as a complete document automation platform and recapping its evolution and real-world impact.
View source [9]LlamaIndex published a one-year retrospective on LlamaParse, framing it as a complete document automation platform built around VLM-powered document understanding for AI agents.
View source [9]LlamaIndex published a one-year retrospective on LlamaParse, recapping the VLM-powered document parsing product's role as a foundation for agentic document workflows since its 2024 launch.
View source [9]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with LlamaIndex. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Credit-based pricing: 1,000 credits = $1.25
Developer-ready Python and TypeScript SDKs plus APIs
LlamaIndex Inc.
Automate knowledge work, beginning with the hardest frontier: documents.
Agentic document OCR that turns messy, multi-modal documents into structured, reliable data for production-ready agents.
LlamaAgents enables developers and enterprises to build reliable document workflows from ingestion and extraction to reasoning and automation.
LlamaIndex package ecosystem sees 25M+ downloads a month.
LlamaParse has 300k+ users.
Developer access via Python and TypeScript SDKs plus APIs with fine-tuned control.
Due diligence research: review public filings and information at scale to identify potential risk factors.
10-K/10-Q summarizer for analyzing complex reports at record speeds.
SEC filing digester that flags risk factors, legal language, and revisions.
AI Sales Development Representatives (SDRs) using LlamaParse cut ramp-up time from weeks to days.
Compliant and auditable deployment suited to high-governance environments.
Adopted by the Fortune 50 and the world's leading AI startups, with millions of developers using the products.
Simple, flexible framework for building knowledge assistants using LLMs connected to enterprise data
Yes, open-source framework
Event-driven agent workflows with session and state management
Tool Connectors – GraphQL, SQL, REST APIs, Neo4j, Databricks Data Mesh
Bring-Your-Own-LLM support including Azure, AWS, HuggingFace, and open models
Bring-Your-Own-Vector-Database including Azure AI Search and Qdrant
Conversation Memory Store support including Azure Cosmos DB, Azure Table, and Azure Cache for Redis
Engineering & R&D AI agents to parse complex technical docs and diagrams
Administrative operations automation including invoice matching, contract parsing, and HR onboarding routing
Python and TypeScript SDKs and APIs with fine-tuned control
Policy-Aware Design with built-in enterprise compliance and deployment standards
San Francisco
Document extraction benchmark scoring systems on accuracy, completeness, grounding, and cost
