LangChain vs LlamaIndex
Compare these two Context tools side-by-side to find the best fit for your project.
LangChain
Context
9/10
Application framework for chaining retrieval, memory, prompts, models, and tools into context-aware LLM systems with a broad integration ecosystem.
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LlamaIndex
Context
9/10
Data framework for agent and RAG applications spanning parsing, extraction, indexing, retrieval, and knowledge workflows across many data sources.
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Choose LangChain if:
- Chain composition for LLM workflows
- Broad LLM and API integrations
- Prompt templating and management
Choose LlamaIndex if:
- Multi-format document parsing
- Advanced indexing for retrieval
- Query pipeline customization
Feature Comparison
| Feature | LangChain | LlamaIndex |
|---|---|---|
| Category | Context | Context |
| Pricing Model | Freemium | Usage-Based |
| Starting Price | $39/mo | $500/mo |
| Rating | 9/10 | 9/10 |
| Complexity | Intermediate | Intermediate |
| AI Models | Multi-model | Llama |
| Integrations | LangChain, LlamaIndex, Vector Databases, OpenAI, Anthropic Claude | Knowledge Bases & SaaS Apps, Files, Docs & Websites, Vector Databases, LlamaIndex, OpenAI |
| Best For | LangChain is ideal for developers building production RAG applications, chatbots, and search systems that need to integrate multiple data sources, LLMs, and APIs without custom orchestration code. It's best suited for straightforward linear retrieval flows where state management complexity is moderate and rapid prototyping is prioritized. | LlamaIndex is ideal for enterprises building document-heavy RAG systems across diverse formats (PDFs, databases, APIs, web content) where sophisticated parsing, indexing, and retrieval customization are needed. It's best suited for teams handling complex knowledge workflows—like research automation, multi-document Q&A, and table extraction—where off-the-shelf retrieval isn't sufficient. |
LangChain
Pros
- Chain composition for LLM workflows
- Broad LLM and API integrations
- Prompt templating and management
- Memory persistence options
Considerations
- May require setup time
- Check pricing for your scale
LlamaIndex
Pros
- Multi-format document parsing
- Advanced indexing for retrieval
- Query pipeline customization
- Agent and RAG workflow templates
Considerations
- May require setup time
- Check pricing for your scale