About LlamaIndex
LlamaIndex specializes in connecting LLMs to your private data — the canonical RAG toolkit. LlamaIndex stands out for agentic document parsing with layout awareness, structured data extraction using schema-based agents, support for 130+ file formats, and advanced table and chart extraction. Teams pick it because best-in-class rag framework and clean abstractions for retrieval. Things to keep in mind: steeper learning curve than ad-hoc rag.
LlamaIndex is a freemium tool and launched on 2022-11-01. It sits in the Coding and Agents space and is best used to Financial due diligence and compliance reviews, Automated invoice processing, Technical document search and retrieval.
Pricing
FreeFree
- 10K credits per month
- 5 concurrent parse jobs
- 5 concurrent extract jobs
- 5 indexes
- 50 files per index
- 100 users
- Basic support
- Community support
Starter$50/mo
- 40K included credits
- Pay-as-you-go up to $500/mo
- 5 concurrent parse jobs
- 5 concurrent extract jobs
- 50 indexes
- 500 files per index
- 100 users
- Basic support
Pro$500/mo
- 400K included credits
- Limited-time bonus: 800K credits ($1,000) one-time
- Pay-as-you-go up to $5,000/mo
- 20 concurrent parse jobs
- 20 concurrent extract jobs
- 100 indexes
- 2,000 files per index
- 100 users
EnterpriseCustom
- Custom credit volume
- Volume discount on credits
- 5x higher rate limits
- 100 concurrent parse jobs
- 100 concurrent extract jobs
- Enterprise SSO
- SaaS or Hybrid cloud deployment
- Dedicated account manager
Features
- •Agentic document parsing with layout awarenessIt's a defining strength of LlamaIndex — especially when teams need to financial due diligence and compliance reviews.
- •Structured data extraction using schema-based agentsComes up again and again in user reviews of LlamaIndex for financial due diligence and compliance reviews.
- •Support for 130+ file formatsBuilt-in support for support for 130+ file formats — used for financial due diligence and compliance reviews.
- •Advanced table and chart extractionBuilt-in support for advanced table and chart extraction — used for financial due diligence and compliance reviews.
- •Handwritten text recognitionBuilt-in support for handwritten text recognition — used for financial due diligence and compliance reviews.
- •Document classification and splittingBuilt-in support for document classification and splitting — used for financial due diligence and compliance reviews.
- •Enterprise-grade indexing and RAG pipelineIt's a defining strength of LlamaIndex — especially when teams need to financial due diligence and compliance reviews.
- •Multi-language support (80+ languages)Built-in support for multi-language support (80+ languages) — used for financial due diligence and compliance reviews.
Pros
- Best-in-class RAG framework
- Clean abstractions for retrieval
- Open-source
Cons
- Steeper learning curve than ad-hoc RAG
- Docs sometimes lag behind code
- Overkill for tiny apps
AI Models used
The foundation models that power LlamaIndex under the hood.
Provides default LLM capabilities for indexing, querying, and reasoning over structured and unstructured data.
Offers open-source LLM alternative for local deployment and data indexing within LlamaIndex applications.
Enables advanced text understanding and generation for document processing and query answering tasks.
Supports semantic understanding and retrieval-augmented generation for enterprise data applications.
Categories
Best use cases
Frequently Asked Questions
General
Related & Connected
Latest models (4)
Used in workflows (1)
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