LlamaIndex / LlamaCloud
by LlamaIndex, Inc.
Build AI knowledge agents over your enterprise data
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
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
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
Market Analysis
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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