Agent platforms · Tool

LlamaIndex

Researched

LlamaIndex is an open-source platform from LlamaIndex Inc. for building AI agents focused on document OCR and enterprise workflows. It offers VLM-powered parsing (LlamaParse), structured extraction, indexing, and end-to-end document agents via paid plans.

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Homepage · captured Jul 21, 2026
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At a glance

In one minute

Start here for the decision-making essentials: what LlamaIndex does, who it is for, how it is accessed, and the first-party sources behind this profile.

Pricing5 options

Free plan with 10,000 credits per month (~1,000 pages)

paid options via 'Book a demo'

Starter plan at $50/month includes 40K credits with pay-as-you-go up to 400K credits, supp

Pro plan at $500/month includes 400K credits with pay-as-you-go up to 4,000K credits, supp

Enterprise plan with custom pricing offers volume discount on credits, 5x higher rate limi

Platforms
Web
API accessNot public
FoundedNot disclosed by source
AvailabilityWeb / remote
LicenseProprietary

Best suited to

Source-backed fit
Building document agents for customer support Financial due diligence and compliance reviews Automated invoice processing Technical document search across complex docs Engineering & R&D teams building LLM knowledge assistants Administrative Operations and Financial Analysts in regulated industries
Decision support

Common questions and adoption checks

6 sourced answers

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.

01What does LlamaIndex say it can do?

VLM-powered document OCR and parsing (LlamaParse), with structured extraction, indexing, a · Industry-leading document processing with Parse, Extract, and Index capabilities for scali · Build document agents over FAQs, knowledge bases, policies, tickets, and product manuals · A simple, flexible framework for building knowledge assistants using LLMs connected to ent

Document OCR for the agentic stack LlamaParse turns hours of manual document processing into seconds of automation, with VLM-powered document understanding agents.
02Who is LlamaIndex intended for?

Personas including Engineering & R&D, Administrative Operations, and Financial Analysts; i · Customer support teams · Serves industries including Insurance, Finance, Manufacturing, and Healthcare & Pharma. · LlamaIndex targets industries including Insurance, Finance, Manufacturing, and Healthcare

Insurance Automate claims and underwriting Finance Power financial research Manufacturing Optimize system uptime Healthcare & Pharma Accelerate clinical research
03What use cases does LlamaIndex describe?

Financial Due Diligence, Invoice Processing, Technical Document Search, and Customer Suppo · Customer support document agents that turn product manuals and FAQs into instant, accurate · Targeted use cases include Financial Due Diligence, Invoice Processing, Technical Document · Documented use cases include Financial Due Diligence, Invoice Processing, Technical Docume

Financial Due Diligence Speed up compliance reviews Invoice Processing Automate manual review Technical Document Search Find answers in complex docs Customer Support Instant, accurate responses
04What pricing information is available for LlamaIndex?

Free plan with 10,000 credits per month (~1,000 pages); paid options via 'Book a demo' · Starter plan at $50/month includes 40K credits with pay-as-you-go up to 400K credits, supp · Pro plan at $500/month includes 400K credits with pay-as-you-go up to 4,000K credits, supp · Enterprise plan with custom pricing offers volume discount on credits, 5x higher rate limi

Get started with LlamaParse for free Our free plan includes: 10,000 free credits per month (~1000 pages)
05Is LlamaIndex open source?

Yes — open-source LlamaIndex framework with OSS repos · Provides open-source repositories (OSS repos) trusted by millions of developers · Open Source OSS repos trusted by millions of developers · Provides open-source repositories (OSS repos) used by developers.

Open Source OSS repos trusted by millions of developers
06What workloads is LlamaIndex presented as a fit for?

Building document agents for customer support that deliver instant, accurate responses and

Build document agents for customer support LlamaIndex helps support teams build agents over FAQs, knowledge bases, policies, tickets, and product manuals — delivering instant, accurate answers and reducing support costs.
Decision guide

Capabilities and operating fit

Agent platforms

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.

Common use cases

  • Financial Due Diligence — speeding up compliance reviews
  • Invoice Processing — automating manual review
  • Technical Document Search — finding answers in complex docs
  • Customer Support — delivering instant, accurate answers from FAQs and manuals
  • KPI extraction from earnings reports
  • Unified chat frameworks for engineering teams (e.g., Jeppesen/Boeing)

Access signals

Pricing model
Free plan with 10,000 credits per month (~1,000 pages); paid options via 'Book a demo' · Starter plan at $50/month includes 40K credits with pay-as-you-go up to 400K credits, supp · Pro plan at $500/month includes 400K credits with pay-as-you-go up to 4,000K credits, supp · Enterprise plan with custom pricing offers volume discount on credits, 5x higher rate limi
API
Not publicly listed
Source links
12 recorded
Source-backed

Verified facts

Updated July 22, 2026

Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.

Official website

HTTP 200 verified twice

[1]llamaindex.ai
First-party description

LlamaIndex | AI Agents for Document OCR + Workflows

[1]llamaindex.ai
Source-supported facts

LlamaIndex Inc. is the company · Open-source OSS repos trusted by millions of developers · Platform for AI Agents focused on document OCR and workflows

[1]llamaindex.ai
Company

LlamaIndex

[1]llamaindex.ai
Capability

VLM-powered document OCR and parsing (LlamaParse), with structured extraction, indexing, and end-to-end document agents

[1]llamaindex.ai
Use case

Financial Due Diligence, Invoice Processing, Technical Document Search, and Customer Support

[1]llamaindex.ai
Audience

Personas including Engineering & R&D, Administrative Operations, and Financial Analysts; industries including Insurance, Finance, Manufacturing, and Healthcare & Pharma

[1]llamaindex.ai
Pricing

Free plan with 10,000 credits per month (~1,000 pages); paid options via 'Book a demo'

[1]llamaindex.ai
View 32 more verified facts
Open source

Yes — open-source LlamaIndex framework with OSS repos

[1]llamaindex.ai
Capability

Industry-leading document processing with Parse, Extract, and Index capabilities for scaling document parsing, indexing, and extraction

[5]llamaindex.ai/pricing
Pricing

Starter plan at $50/month includes 40K credits with pay-as-you-go up to 400K credits, supports 100 users with Basic support

[5]llamaindex.ai/pricing
Pricing

Pro plan at $500/month includes 400K credits with pay-as-you-go up to 4,000K credits, supports 100 users with Slack support

[5]llamaindex.ai/pricing
Pricing

Enterprise plan with custom pricing offers volume discount on credits, 5x higher rate limits, Enterprise SSO, SaaS or Hybrid cloud deployment, and a dedicated account manager

[5]llamaindex.ai/pricing
Open source

Provides open-source repositories (OSS repos) trusted by millions of developers

[5]llamaindex.ai/pricing
Use case

Customer support document agents that turn product manuals and FAQs into instant, accurate answers

[2]llamaindex.ai/use-cases/customer-support
Capability

Build document agents over FAQs, knowledge bases, policies, tickets, and product manuals

[2]llamaindex.ai/use-cases/customer-support
Audience

Customer support teams

[2]llamaindex.ai/use-cases/customer-support
Open source

Open Source OSS repos trusted by millions of developers

[2]llamaindex.ai/use-cases/customer-support
Company

Customer story: Jeppesen (a Boeing Company) saved ~2,000 Engineering Hours with a Unified Chat Framework built on LlamaIndex

[2]llamaindex.ai/use-cases/customer-support
Best for

Building document agents for customer support that deliver instant, accurate responses and reduce support costs

[2]llamaindex.ai/use-cases/customer-support
Capability

A simple, flexible framework for building knowledge assistants using LLMs connected to enterprise data; also described as a data framework for building large language model applications.

[3]llamaindex.ai/legal/privacy-notice
Company

LlamaIndex Inc.

[3]llamaindex.ai/legal/privacy-notice
Open source

Provides open-source repositories (OSS repos) used by developers.

[3]llamaindex.ai/legal/privacy-notice
Capability

LlamaParse is offered as an industry-leading document processing capability (Parse, Extract, Index).

[3]llamaindex.ai/legal/privacy-notice
Use case

Targeted use cases include Financial Due Diligence, Invoice Processing, Technical Document Search, and Customer Support.

[3]llamaindex.ai/legal/privacy-notice
Audience

Serves industries including Insurance, Finance, Manufacturing, and Healthcare & Pharma.

[3]llamaindex.ai/legal/privacy-notice
Capability

LlamaParse provides industry-leading document processing

[4]llamaindex.ai/customers
Open source

LlamaIndex offers open source repositories trusted by millions of developers

[4]llamaindex.ai/customers
Pricing

New users can sign up for LlamaParse to receive 10,000 free credits

[4]llamaindex.ai/customers
Audience

LlamaIndex targets industries including Insurance, Finance, Manufacturing, and Healthcare & Pharma

[4]llamaindex.ai/customers
Use case

Documented use cases include Financial Due Diligence, Invoice Processing, Technical Document Search, and Customer Support

[4]llamaindex.ai/customers
Use case

Jeppesen (a Boeing Company) uses LlamaIndex's unified chat framework, reportedly saving approximately 2,000 engineering hours

[4]llamaindex.ai/customers
Platform

LlamaIndex is a platform for AI Agents focused on document OCR and AI workflows for enterprises.

[6]llamaindex.ai/about
Capability

LlamaParse is described as industry-leading document processing (Parse, Extract, Index), and LlamaAgents enables building workflows around documents from ingestion and extraction to reasoning and automation.

[6]llamaindex.ai/about
Open source

LlamaIndex maintains open-source repositories that are trusted by millions of developers.

[6]llamaindex.ai/about
Use case

Documented use cases include Financial Due Diligence, Invoice Processing, Technical Document Search, and Customer Support.

[6]llamaindex.ai/about
Audience

Target audiences include Engineering & R&D teams, Administrative Operations, Financial Analysts, and industries such as Insurance, Finance, Manufacturing, and Healthcare & Pharma.

[6]llamaindex.ai/about
Pricing

LlamaParse offers a free signup with 10,000 free credits, and a 'Try for free' option is available alongside a 'Pricing' page.

[6]llamaindex.ai/about
Capability

Automate KPI extraction from earnings reports in 80% less research time

[12]llamaindex.ai/solutions/finance
Capability

Parse financial PDFs with high accuracy and extract structured metrics and KPIs

[12]llamaindex.ai/solutions/finance
Practical capabilities

What it helps with

8 documented areas

A concise view of the jobs, capabilities and integrations described in the recorded product sources.

Use case

Financial Due Diligence — speeding up compliance reviews

Use case

Invoice Processing — automating manual review

Use case

Technical Document Search — finding answers in complex docs

Use case

Customer Support — delivering instant, accurate answers from FAQs and manuals

Use case

KPI extraction from earnings reports

Use case

Unified chat frameworks for engineering teams (e.g., Jeppesen/Boeing)

Use case

Financial Due Diligence, Invoice Processing, Technical Document Search, and Customer Suppo

Use case

Customer support document agents that turn product manuals and FAQs into instant, accurate

Availability

Where it runs and where to get it

Source checked

Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.

Cost / license

Free plan with 10,000 credits per month (~1,000 pages); paid options via 'Book a demo' · Starter plan at $50/month includes 40K credits with pay-as-you-go up to 400K credits, supp · Pro plan at $500/month includes 400K credits with pay-as-you-go up to 4,000K credits, supp · Enterprise plan with custom pricing offers volume discount on credits, 5x higher rate limiYes — open-source LlamaIndex framework with OSS repos · Provides open-source repositories (OSS repos) trusted by millions of developers · Open Source OSS repos trusted by millions of developers

Platforms

LlamaIndex is a platform for AI Agents focused on document OCR and AI workflows for enterp
Implementation details

Adoption notes

DeploymentNot disclosed by source
LicenseYes — open-source LlamaIndex framework with OSS repos · Provides open-source repositories (OSS repos) trusted by millions of developers · Open Source OSS repos trusted by millions of developers
Model supportNot disclosed by source
Data controlNot disclosed by source
Learning curveIntermediate
Primary use casesFinancial Due Diligence — speeding up compliance reviews, Invoice Processing — automating manual review, Technical Document Search — finding answers in complex docs, Customer Support — delivering instant, accurate answers from FAQs and manuals, KPI extraction from earnings reports, Unified chat frameworks for engineering teams (e.g., Jeppesen/Boeing), Financial Due Diligence, Invoice Processing, Technical Document Search, and Customer Suppo, Customer support document agents that turn product manuals and FAQs into instant, accurate, Targeted use cases include Financial Due Diligence, Invoice Processing, Technical Document, Documented use cases include Financial Due Diligence, Invoice Processing, Technical Docume, Jeppesen (a Boeing Company) uses LlamaIndex's unified chat framework, reportedly saving ap, Financial Due Diligence — speed up compliance reviews, Invoice Processing — automate manual review, Technical Document Search for finding answers in complex documentation., Financial Due Diligence, Invoice Processing, Technical Document Search, Customer Support, Use cases include Financial Due Diligence, Invoice Processing, Technical Document Search,

What to verify before adopting

    Evolution and major updates

    LlamaIndex timeline

    A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.

    1 dated update
    Latest first · exact dates

    Showing the newest updates and meaningful milestones. Open an entry for its summary and source.

    Citation ledger

    Recorded sources

    13 unique pages

    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.

    1. 1llamaindex.ai 10 facts · 5 answers · Official site
    2. 2llamaindex.ai/use-cases/customer-support 6 facts · 5 answers · Official site
    3. 3llamaindex.ai/legal/privacy-notice 6 facts · 4 answers · Security
    4. 4llamaindex.ai/customers 6 facts · 3 answers · Official site
    5. 5llamaindex.ai/pricing 5 facts · 3 answers · Pricing
    6. 6llamaindex.ai/about 6 facts · 1 answer · Official site
    7. 7llamaindex.ai/careers 7 facts · Official site
    8. 8llamaindex.ai/blog 6 facts · Official site
    9. 9llamaindex.ai/customers/jeppesen-a-boeing-company-saves-2-000-engineering-hours-with-unified-chat-framework 6 facts · Official site
    10. 10llamaindex.ai/solutions/administrative-operations 6 facts · Official site
    11. 11llamaindex.ai/solutions/engineering 6 facts · Official site
    12. 12llamaindex.ai/solutions/finance 6 facts · Official site
    13. 13llamaindex.ai/blog/llamacloud-one-year-later-the-complete-document-automation-platform 1 milestone
    Research status75 substantive facts · 12 source pages · quality score 98/100