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LlamaIndex vs LangChain

This comparison was retrieved by database IDs selected from the catalog.

LlamaIndex favicon

LlamaIndex

LlamaIndex

LangChain favicon

LangChain

LangChain

Overview
Rating
—
—
Category
Developer Tools
Developer Tools
Subcategory
AI Data Framework
AI Application Framework
Company
LlamaIndex
LangChain
Status
Active
Active
Launch year
2022
2022
Tags
frameworkragdatapythonllmdocumentsopen-source
frameworkllmragagentspythonjavascriptopen-source
Pricing
Starting price
FreeBest value
Free
Pricing model
Open Source
Open Source
Free plan
Yes
Yes
Free trial
✕
✕
Pricing notes

LlamaIndex framework is open source and free. LlamaCloud (managed service) has usage-based pricing. Enterprise support available.

LangChain framework is open source and free. LangSmith (observability platform) free up to 5,000 traces/month, Developer $39/month, Plus $99/month. Enterprise custom pricing.

Capabilities
Best for
RAG applicationsDocument Q&A systemsKnowledge base AIMulti-source data retrievalEnterprise AI applications
RAG applicationsAI chatbotsAI agentsLLM workflowsDocument Q&A systems
Target audience
Python developersML engineersEnterprise AI teamsData engineersAI application builders
Python developersML engineersAI application buildersStartup engineering teamsEnterprise AI developers
AI type
LLM Application Framework
LLM Application Framework
Modalities
TextDocumentCode
TextCode
Technical
Model provider
Agnostic (OpenAI, Anthropic, etc.)

Agnostic (OpenAI, Anthropic, Google, etc.)

Model names
—
—
API available
✓
✓
Open source
✓
✓
Deployment
Open SourceSaaS (LlamaCloud)
Open SourceSaaS (LangSmith)
Platforms
PythonTypeScript
PythonNode.js
Integrations
All major LLM providersVector databases (Pinecone, Weaviate, Chroma)AWSAzureGCP
All major LLM providersVector databases (Pinecone, Weaviate, Chroma)AWSAzureGCP
Team collaboration
✕
✕
Trust & security
Security

Open source LlamaIndex: data stays within your infrastructure. LlamaCloud: review LlamaIndex's data handling policy. Enterprise includes data processing agreements.

LangSmith (cloud): review LangChain's privacy policy. Self-hosted LangChain: full data control within your infrastructure.

Privacy notes

Self-hosted LlamaIndex provides full data control. LlamaCloud processes data on LlamaIndex's infrastructure. Review privacy policy for cloud deployments with sensitive data.

Open source LangChain: data stays within your infrastructure. LangSmith cloud: review LangChain's data handling policy. Enterprise LangSmith includes data processing agreements.

Verdict
Pros
  • Best-focused framework for RAG and data-connected AI applications
  • 100+ data connectors for diverse source types
  • Strong evaluation tools for assessing retrieval quality
  • LlamaCloud managed service reduces infrastructure overhead
  • Most widely adopted LLM application framework with large community
  • Integrates with virtually every LLM provider and vector database
  • RAG and agent patterns well-supported with established conventions
  • LangGraph enables complex stateful multi-agent workflows
Cons
  • Python-focused with TypeScript support still maturing
  • Less broad than LangChain for non-RAG use cases
  • Community smaller than LangChain despite strong technical focus
  • Abstraction layer adds complexity for simple use cases
  • Learning curve for understanding chains, agents, and retrieval patterns
  • Framework has been criticised for unnecessary abstraction in some scenarios
  • LangSmith observability requires separate setup and subscription

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