About LlamaIndex
LlamaIndex specializes in connecting LLMs to your private data — the canonical RAG toolkit. LlamaIndex stands out for agentic document parsing with vlm-powered understanding, structured data extraction with schema-based agents, advanced table and chart extraction, and handwritten text recognition. 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
- Community support
Starter$50/mo
- 40K included credits
- Pay-as-you-go up to 400K credits
- 5 concurrent parse jobs
- 5 concurrent extract jobs
- 50 indexes
- 500 files per index
- 100 users
- Basic support
Pro$500/mo
- 400K included credits
- Pay-as-you-go up to 4,000K credits
- 20 concurrent parse jobs
- 20 concurrent extract jobs
- 100 indexes
- 2,000 files per index
- 100 users
- Slack support
EnterpriseCustom
- Custom credit allocation
- 100 concurrent parse jobs
- 100 concurrent extract jobs
- Volume discount on credits
- 5x higher rate limits
- Enterprise SSO
- SaaS or Hybrid cloud deployment
- Dedicated account manager
Features
- •Agentic document parsing with VLM-powered understandingIt's a defining strength of LlamaIndex — especially when teams need to financial due diligence and compliance reviews.
- •Structured data extraction with schema-based agentsComes up again and again in user reviews of LlamaIndex 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 pipelineA reason power-users stick with LlamaIndex for 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.
- •Support for 130+ file formatsBuilt-in support for support for 130+ file formats — 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.
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