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LlamaIndex

An open-source framework for developers building AI agents, data retrieval pipelines, and multi-step workflows.

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LlamaIndex is an open-source framework for developers building AI agents over their own data. It combines retrieval-augmented generation (RAG), tools, memory, and workflows for applications such as internal knowledge assistants.

Key Highlights

  • Python and TypeScript SDKs
  • Data connectors, indexes, and retrievers
  • Tool-calling agents and multi-agent coordination
  • Asynchronous, event-driven Workflows
  • Human-in-the-loop steps and state management

What Makes It Different

A query engine can become one of an agent's tools, connecting document retrieval to actions. Developers can customize connectors, indexes, retrieval, and model integrations, while Workflows controls how steps interact.

Features & Capabilities

Load documents, build an index, and expose it through a query engine. In Python, FunctionAgent uses tools such as ordinary functions or query engines; AgentWorkflow coordinates multiple agents. Model integrations include hosted providers and local options such as Ollama.

Workflows connects steps through events, with loops, branching, parallel paths, and human review. The framework can use LlamaParse for complex document processing, but that hosted service has separate pricing. Open-source access does not include unlimited hosted parsing or model usage.

User Ratings and Testimonials

Phil Mui of Salesforce praises retrieval customization and community support. Agent reliability still depends on the model; smaller local models can be less reliable. The maintainers now prioritize LlamaParse, a product direction to consider when planning framework adoption.

Pricing & Value

  • LlamaIndex framework: Free, MIT-licensed software you run yourself. Budget separately for infrastructure and any paid model APIs.

The separate hosted platform is now called LlamaParse, formerly LlamaCloud. Its US plans cover document services:

  • Free: $0/month with 10,000 monthly credits.
  • Starter: $50/month with 40,000 credits and pay-as-you-go usage.
  • Pro: $500/month with 400,000 credits and priority support.
  • Enterprise: Custom pricing, volume discounts, SSO, and hybrid cloud deployment.

Choose the framework for control over your application; add hosted services when their document-processing capabilities fit your workload.

FAQs

How much does LlamaIndex cost?

The framework is free, open source software you run yourself. Model APIs and hosting may cost extra; LlamaParse has separate plans.

What is the purpose of LlamaIndex?

Developers use it to build AI agents and RAG applications that retrieve context from their own documents, databases, and APIs.

What are the key differences between LlamaIndex and LlamaParse?

LlamaIndex is the open source framework for RAG and agents. LlamaParse is a separate commercial platform for document parsing, extraction, and indexing.

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Curated by Michał Śnieżyński. Website may contain affiliate links.