LangChain
LangChain
FreeLlamaIndex
LlamaIndex
FreeLangChain vs LlamaIndex: Full Comparison (2026)
LangChain is the framework for building llm-powered applications. LlamaIndex is data framework for building llm applications over your data. Use the breakdown below to find the right fit for your needs.
This page presents factual information sourced from publicly available vendor documentation and product pages. AIHub does not endorse either product. The right tool depends on your specific use case, team, and requirements — we recommend evaluating both tools directly before making a decision.
Side-by-Side Overview
Pricing Model
LangChain
FreeLlamaIndex
FreeAPI Access
LangChain
AvailableLlamaIndex
Not availablePlatforms
LangChain
Python, JavaScript/TypeScript, LangGraph Platform (deployment), LangSmith (observability)LlamaIndex
WebIntegrations
LangChain
8 integrationsLlamaIndex
—Vendor
LangChain
LangChainLlamaIndex
LlamaIndexCategory
LangChain
FrameworksLlamaIndex
FrameworksLaunch
LangChain
Oct 2022LlamaIndex
—| Feature | LangChain | LlamaIndex |
|---|---|---|
| Pricing Model | Free | Free |
| API Access | Available | Not available |
| Platforms | Python, JavaScript/TypeScript, LangGraph Platform (deployment), LangSmith (observability) | Web |
| Integrations | 8 integrations | — |
| Vendor | LangChain | LlamaIndex |
| Category | Frameworks | Frameworks |
| Launch | Oct 2022 | — |
About LangChain
LangChain provides abstractions for chaining LLM calls, integrating tools and memory, building agents, and connecting to data sources. Available in Python and JavaScript.
Designed For
- RAG applications
- AI agents
- Document Q&A
- Chatbots
About LlamaIndex
LlamaIndex (formerly GPT Index) simplifies connecting custom data sources to LLMs. Provides data connectors, indexing strategies, and query engines for building RAG applications.
Designed For
- RAG over documents
- Structured data querying
- Multi-agent systems
- Knowledge bases
Strengths & Limitations
LangChain
Strengths
- Large ecosystem
- Many integrations
- Active community
Limitations
- Steep learning curve
- Over-abstracted
- Rapid API changes
LlamaIndex
Strengths
- Data-focused
- Easy RAG setup
- Many connectors
Limitations
- Less agent-focused than LangChain
- Learning curve
Frequently Asked Questions
What is the difference between LangChain and LlamaIndex?
LangChain is the framework for building llm-powered applications, while LlamaIndex is data framework for building llm applications over your data. LangChain is designed for LLM app developers, RAG system builders; LlamaIndex is designed for Frameworks. The right fit depends on your specific requirements.
How do the pricing models compare?
LangChain is available under a Free model. LlamaIndex is available under a Free model. LangChain's entry tier starts at Free. Always verify pricing on each vendor's official website as it may change.
What integrations does each tool support?
LangChain integrates with All major LLMs, Pinecone, Weaviate, Chroma. LlamaIndex integrates with various tools. Check each vendor's documentation for the full and current list.
How do I choose between LangChain and LlamaIndex?
Consider your team's technical requirements, budget, existing tooling, and use case before deciding. We recommend signing up for free trials or demos of both tools where available, and consulting each vendor's documentation. AIHub provides this comparison for informational purposes only.
Feature Snapshot
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LangChain full detailsLlamaIndex full detailsLangChain official siteLlamaIndex official siteRelated Comparisons
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Data sourced from public vendor documentation. Pricing, features, and availability may change. Always verify on official vendor websites before making purchasing decisions. AIHub is not affiliated with any of the listed vendors.