Jul 3, 2025
Context Engineering - What it is, and techniques to considerThe developer-trusted framework for building context-aware AI agents
LlamaIndex empowers developers with everything needed to go from concept to AI application—all in a few lines of code.
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4M+
package downloads a month
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1.5k+
contributors
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20k+
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Why LlamaIndex
Why use a framework?
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Use proven agent building patterns
Benefit from the expertise of millions of developers in finding the right way to solve problems.
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Develop business logic not AI foundations
Skip boilerplate code and inconsistent APIs across vendors.
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Stay cutting-edge with day-zero integrations
Get the latest models and features without rewriting your code for every new release.
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Extensible building blocks
Leverage core components like memory, state management, human-in-the-loop, reflection, and more. Customize components to match your workflows.
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Flexible SDKs
Fully-featured Python and Typescript SDKs that easily integrate into your development stack.
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Build with the latest
Day zero integrations with the latest LLMs, tools, data connections, and more.
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Vibe code ready
Go from natural language to prototypes in seconds with your favorite vibe coding apps, leveraging our LLM.txt file.
Trusted by leading AI builders and enterprise teams
We’ve helped leading teams go from prototype to production with real-world results.
Testimonials
Through our collaboration with the LlamaIndex team, we’ve been able to deeply explore and define the critical capabilities and essential standards for useful research AI assistants. LlamaIndex has proven to be an exceptional Agent development framework that enables our extensive experimentation.
Other frameworks felt rigid. LlamaIndex gave us the control and flexibility we needed to meet enterprise constraints. Everyone was building their own bots. Some teams were ahead, some just starting. We wanted to create a shared foundation that made it easier to build and learn together.
LlamaIndex’s framework gave us the flexibility we needed to quickly prototype and deploy production-ready RAG applications. Salesforce Agentforce team has been leveraging LlamaIndex heavily.
LlamaIndex has been a game-changer for us, accelerating our AI agent development efforts, embedding reliable conversational interfaces directly within applications, and providing a flexible and scalable agentic framework.
FAQ
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Is LlamaIndex Open Source?
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Is LlamaIndex Open Source?
Yes, LlamaIndex is fully open source, granting developers full control over how they build applications and without any restrictions on leveraging your app in production or for commercial use.
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What are common ways to use LlamaIndex?
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What are common ways to use LlamaIndex?
Common use cases include conversational chat, customer support, internal knowledge bases, automating document-heavy processes, and more.
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How does LlamaIndex work with LlamaCloud?
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How does LlamaIndex work with LlamaCloud?
Llamacloud allows developers to turn unstructured data sources into AI-ready formats. LlamaIndex empowers builders to then use that data to build an AI agent that can reason, understand, and act to automate workflows.
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How is LlamaIndex different from Workflows?
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How is LlamaIndex different from Workflows?
LlamaIndex provides developers with the core building blocks for building agents like state, memory, and more. Workflows allows developers to build highly controlled multi-step workflows that can combine multiple steps or agents.