LlamaIndex

Build AI agents and applications that can understand, retrieve, and work with your data.

Website

https://www.llamaindex.ai/

Category

AI Agent Builders

Pricing

Free & Paid Plans

Overview

LlamaIndex is an AI development framework and data platform for building applications and agents that can work with private, enterprise, and unstructured data. It provides tools for connecting large language models to documents, databases, APIs, and other data sources so AI systems can retrieve relevant information and use it in their responses and workflows.

LlamaIndex is particularly focused on building AI agents and retrieval-augmented generation (RAG) applications. Developers can use its framework to ingest data, create indexes, retrieve relevant context, connect tools, and build workflows that allow AI systems to reason over information and take actions.

The LlamaIndex ecosystem also includes LlamaCloud, a hosted platform for document processing, extraction, indexing, and document-based agents. LlamaParse can process complex documents including PDFs, tables, charts, images, and handwritten content, while LlamaExtract provides structured data extraction from unstructured files.

Tool Information

Key Features

AI Agent Development

Build AI agents that can access data, use tools, reason over information, and perform multi-step tasks.

Capabilities

• AI agent creation
• Tool calling
• Agent workflows
• Data-aware agents
• Multi-step task execution
• Agent deployment

Retrieval-Augmented Generation

Connect language models to external knowledge and retrieve relevant information before generating responses.

Benefits

• Ground AI responses in your data
• Search private knowledge
• Retrieve relevant documents
• Reduce reliance on model training data
• Build domain-specific AI applications

Document Processing

Process complex documents and convert their contents into AI-ready information.

Capabilities

• PDF processing
• Document parsing
• Table extraction
• Chart understanding
• Image processing
• Handwritten text processing
• Structured data extraction

LlamaParse is designed to process complex layouts and supports more than 50 unstructured file types.

Data Indexing

Transform data into searchable indexes that AI applications can use for retrieval.

Features

• Data ingestion
• Chunking
• Embeddings
• Index creation
• Metadata handling
• Retrieval pipelines

LlamaCloud

Use LlamaIndex’s hosted platform for document processing and AI data workflows.

Services

• LlamaParse
• LlamaExtract
• Document classification
• Document indexing
• Data ingestion
• Document agents

LlamaCloud provides APIs and SDKs for integrating these capabilities into AI applications.

AI Workflows

Create structured workflows that combine AI models, data retrieval, tools, and application logic.

Use Cases

• Multi-step AI tasks
• Agentic workflows
• Knowledge processing
• Automated research
• Document automation
• Business process automation

Multi-Agent Applications

Build applications where multiple specialized agents can collaborate on complex tasks.

Capabilities

• Specialized agents
• Agent workflows
• Tool-based execution
• Task delegation
• Multi-step reasoning

Use Cases

AI Agents

Build agents that can access organizational data, retrieve information, use tools, and perform tasks.

RAG Applications

Create AI applications that answer questions using private documents, databases, and knowledge bases.

Document Intelligence

Extract information and insights from PDFs, contracts, reports, spreadsheets, images, and other unstructured documents.

Enterprise Knowledge Search

Build intelligent search and question-answering systems over internal company information.

Financial Research

Process financial documents, research materials, reports, and other data to support analysis and due diligence workflows.

Customer Support

Create AI assistants that retrieve information from product documentation, knowledge bases, and company data to provide contextual customer responses.

Document Automation

Automate document processing, classification, extraction, indexing, and downstream AI workflows.

How LlamaIndex Works

LlamaIndex connects AI models with external data and tools through a combination of data ingestion, indexing, retrieval, and agent workflows.

Typical Workflow

1. Connect your data sources
2. Load documents or other data
3. Parse and transform the information
4. Split content into usable sections
5. Create indexes and embeddings
6. Retrieve relevant information
7. Provide retrieved context to an AI model
8. Allow agents to use tools and perform tasks
9. Deploy the resulting AI application or workflow

For document-heavy applications, LlamaCloud can handle parsing, extraction, classification, indexing, and deployment of document-focused agents.

Integrations

Supported Workflows

• OpenAI
• Anthropic
• Google AI
• Azure AI
• Local and open-source models
• Vector databases
• SQL databases
• Document stores
• APIs
• Cloud storage
• Enterprise data sources
• Custom data connectors

Advantages

• Strong focus on AI agents and data
• Powerful RAG capabilities
• Open-source framework
• Document processing tools
• LlamaCloud hosted services
• LlamaParse for complex documents
• Structured data extraction
• Data indexing and retrieval
• Supports agentic workflows
• Suitable for enterprise applications
• Flexible deployment options
• Large developer ecosystem

Limitations

• Primarily designed for developers
• Requires programming knowledge for advanced use
• Building production RAG systems can require significant engineering
• AI model and infrastructure costs are separate
• Complex data pipelines can require additional configuration
• Advanced hosted services may require paid plans

Pricing

Free Plan

LlamaIndex provides free options for getting started with its platform and LlamaCloud services. The current LlamaParse offering includes free monthly credits for document processing.

Paid Plans

Paid usage is available for higher-volume document processing and hosted LlamaCloud capabilities. Enterprise options are also available for organizations requiring additional security, support, scalability, and deployment controls.

Visit the official website for the latest pricing information.

Company Information

Frequently Asked Questions

What is LlamaIndex?

LlamaIndex is an AI development framework for connecting language models and AI agents with external data, documents, databases, APIs, and knowledge sources.

Is LlamaIndex an AI agent framework?

Yes. LlamaIndex provides tools for building AI agents that can access data, use tools, retrieve information, and perform multi-step workflows.

What is LlamaIndex used for?

LlamaIndex is commonly used to build RAG applications, AI agents, enterprise knowledge assistants, document-processing systems, intelligent search applications, and data-aware AI workflows.

Does LlamaIndex support RAG?

Yes. Retrieval-augmented generation is one of the core use cases of LlamaIndex. Developers can ingest data, create indexes, retrieve relevant context, and provide that information to language models.

What is LlamaParse?

LlamaParse is LlamaIndex’s document parsing service for turning complex and unstructured documents into information that can be used by AI applications and workflows.

Is LlamaIndex free?

LlamaIndex’s open-source framework can be used without a software license fee. LlamaCloud and other hosted services have their own usage limits and paid plans, while AI models and infrastructure may also have separate costs.