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LlamaIndex / LlamaCloud

by LlamaIndex, Inc.

Enterprise Search & KnowledgeAI Agents & OrchestrationDeveloper ToolsData & Analytics

Build AI knowledge agents over your enterprise data

freemium · subscription · usage-based·Added Jun 24, 2026·Updated Jun 24, 2026
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THE DAILY BRIEF
LlamaIndex / LlamaCloud

by LlamaIndex, Inc.

Enterprise Search & KnowledgeAI Agents & OrchestrationDeveloper ToolsData & Analytics

Build AI knowledge agents over your enterprise data

freemium · subscription · usage-based

LlamaIndex is a document-processing and retrieval platform for building enterprise RAG applications and knowledge agents, offered as the open-source LlamaIndex framework plus the commercial LlamaCloud suite (LlamaParse, LlamaExtract, LlamaCloud Index).

At a Glance

Category
Enterprise Search & Knowledge
Pricing
freemium, subscription, usage-based
Target Market
Enterprises, AI/ML developers, Data teams, Fortune 500 companies
Founded
2023
Headquarters
San Francisco, California, United States

Key Features

  • LlamaParse
  • LlamaExtract
  • LlamaCloud Index & Retrieval
  • Open-source LlamaIndex framework
  • Enterprise deployment & compliance

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Enterprise knowledge assistants
  • Automated document processing
  • Agentic data workflows

Ideal For

Best For

  • RAG application development
  • Enterprise document processing
  • Knowledge agents over unstructured data
  • Structured data extraction from documents

Market Analysis

Leading RAG/document-AI frameworkEnterprise knowledge agent platformAdopted across a large share of Fortune 500 companies
User Rating4.8/ 5

Pros

  • Powerful, accurate document parsing for complex/unstructured files
  • Easy to load, index, and retrieve data for LLM use
  • Strong open-source ecosystem and documentation
  • Flexible deployment with enterprise compliance

Cons

  • Less fine-grained control than coding directly against an LLM
  • Credit-based pricing can be hard to estimate for variable workloads
  • Limited number of public user reviews

Pricing

Free

$0/month

  • 10K credits/month
  • 1 user
  • Basic support

Starter

$50/month

  • 40K credits/month
  • Pay-as-you-go up to 400K extra credits
  • Up to 5 users
  • Basic email support

Pro

$500/month

  • 400K credits/month
  • Pay-as-you-go up to 4M extra credits
  • 10 users
  • Slack priority support

Enterprise

Custom

  • Volume credit discounts
  • 5x higher rate limits
  • Enterprise SSO
  • SaaS or hybrid cloud deployment
  • Dedicated account manager

Credit-based billing (1,000 credits = $1.25). Parsing cost varies by complexity, from ~1 credit/page for basic parsing to more for advanced agentic/VLM parsing. A startup program offers free credits for eligible companies.

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© 2026 Rajesh Beri. All rights reserved.

LlamaIndex is a document-processing and retrieval platform for building enterprise RAG applications and knowledge agents, offered as the open-source LlamaIndex framework plus the commercial LlamaCloud suite (LlamaParse, LlamaExtract, LlamaCloud Index).

LlamaIndex provides the tooling to connect large language models to private, unstructured enterprise data. Its open-source framework (25M+ monthly downloads) handles data ingestion, indexing, and retrieval for RAG pipelines, while the commercial LlamaCloud platform adds production-grade document parsing (LlamaParse), schema-based structured extraction (LlamaExtract), and managed indexing/retrieval. LlamaParse uses VLM-powered agentic parsing to convert 50+ unstructured file types (PDFs, images, tables, charts, handwriting) into LLM-ready output. LlamaCloud is used to power internal knowledge assistants and document-automation agents across finance, insurance, healthcare, and manufacturing, with enterprise features like SOC 2/HIPAA/GDPR compliance and SaaS or VPC/hybrid deployment.

At a Glance

Category
Enterprise Search & Knowledge
Pricing
freemium, subscription, usage-based
Target Market
Enterprises, AI/ML developers, Data teams, Fortune 500 companies
Founded
2023
Headquarters
San Francisco, California, United States

Key Features

  • LlamaParse

    VLM-powered agentic document parsing that converts 50+ unstructured file types (PDFs, images, tables, charts, handwriting) into clean, LLM-ready output with auto-correction loops.

  • LlamaExtract

    Schema-based structured data extraction from documents without requiring model training, turning unstructured content into typed JSON.

  • LlamaCloud Index & Retrieval

    Managed indexing and retrieval service for building production RAG pipelines and knowledge bases over enterprise data.

  • Open-source LlamaIndex framework

    Widely adopted OSS data framework (25M+ monthly downloads) for connecting LLMs to private data via ingestion, indexing, and querying.

  • Enterprise deployment & compliance

    SOC 2, HIPAA, and GDPR compliance with SaaS or hybrid/VPC deployment, SSO, and higher rate limits for enterprise customers.

Capabilities

text generation
image generation
video generation
code generation
workflow automation
api access
audio generation
fine tuning
agent orchestration

Use Cases

  • Enterprise knowledge assistants

    Build internal RAG-powered assistants that answer questions over a company's documents, wikis, and unstructured data sources.

  • Automated document processing

    Parse and extract structured data from complex financial, insurance, and healthcare documents to automate manual knowledge work.

  • Agentic data workflows

    Power durable AI agents that retrieve, reason over, and act on enterprise knowledge across multiple data formats and systems.

Ideal For

Best For

  • RAG application development
  • Enterprise document processing
  • Knowledge agents over unstructured data
  • Structured data extraction from documents

Integrations

SDK Available
SDK:PythonTypeScript

Market Analysis

Leading RAG/document-AI frameworkEnterprise knowledge agent platformAdopted across a large share of Fortune 500 companies
User Rating4.8/ 5

Pros

  • Powerful, accurate document parsing for complex/unstructured files
  • Easy to load, index, and retrieve data for LLM use
  • Strong open-source ecosystem and documentation
  • Flexible deployment with enterprise compliance

Cons

  • Less fine-grained control than coding directly against an LLM
  • Credit-based pricing can be hard to estimate for variable workloads
  • Limited number of public user reviews

Pricing

Free Trial Available

Free

$0/month

  • 10K credits/month
  • 1 user
  • Basic support

Starter

$50/month

  • 40K credits/month
  • Pay-as-you-go up to 400K extra credits
  • Up to 5 users
  • Basic email support

Pro

$500/month

  • 400K credits/month
  • Pay-as-you-go up to 4M extra credits
  • 10 users
  • Slack priority support

Enterprise

Custom

  • Volume credit discounts
  • 5x higher rate limits
  • Enterprise SSO
  • SaaS or hybrid cloud deployment
  • Dedicated account manager

Credit-based billing (1,000 credits = $1.25). Parsing cost varies by complexity, from ~1 credit/page for basic parsing to more for advanced agentic/VLM parsing. A startup program offers free credits for eligible companies.

Sources

This page was written from 8 sources, 5 on domains other than llamaindex.ai.

  1. 1.llamaindex.aillamaindex.aivendor
  2. 2.llamaindex.aipricingvendor
  3. 3.llamaindex.aiannouncing our series a and llamacloud general availabilityvendor
  4. 4.prnewswire.comllamaindex secures 19 million series a to power enterprise g
  5. 5.techcrunch.comllamaindex launches a cloud service for building unstructed
  6. 6.businesswire.comLlamaIndex Raises $8.5M to Unlock Large Language Models Capa
  7. 7.crunchbase.comllamaindex
  8. 8.g2.comreviews
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