LangChain vs LlamaIndex
type: Article
description: LangChain is a general-purpose LLM orchestration framework excelling at multi-step agent workflows and diverse integrations, while LlamaIndex specializes in retrieval-augmented generation (RAG) with superior document indexing and querying capabilities for structured data extraction.
language: en-US
date published: 2026-07-09T03:33:54.365Z
date created: 2026-07-09T03:33:54.365Z
date modified: 2026-07-09T03:33:54.965Z
content reference time: 2026-07-09T03:33:54.965Z
author: A Versus B
publisher: A Versus B
about: LangChain
about: LlamaIndex
abstract: LangChain is a general-purpose LLM orchestration framework excelling at multi-step agent workflows and diverse integrations, while LlamaIndex specializes in retrieval-augmented generation (RAG) with superior document indexing and querying capabilities for structured data extraction.
text: Primary Use Case Focus. Supported LLM Integrations. Vector Store Integrations. Community Activity (GitHub Stars). Documentation Depth. Learning Curve for RAG Tasks. Production Deployment Maturity
conclusion text: Choose LangChain if you're building complex agent-based systems, need extensive LLM provider flexibility, or require advanced memory management and observability tools like LangSmith. Choose LlamaIndex if your primary goal is RAG, you need best-in-class document indexing, superior vector database integration, and a simpler learning curve for retrieval pipelines.
additional property: Vector Store Support
  type: PropertyValue
  value: LangChain: 30+ | LlamaIndex: 50+
  value reference: LlamaIndex
additional property: RAG Pipeline Maturity
  type: PropertyValue
  value: LangChain: Composable chains (manual setup) | LlamaIndex: Purpose-built with auto-optimization
additional property: Agent Framework Maturity
  type: PropertyValue
  value: LangChain: Advanced (ReAct, Tool-using, custom) | LlamaIndex: Emerging (basic tool support)
additional property: Enterprise Market Share
  type: PropertyValue
  value: LangChain: 65% of LLM framework users | LlamaIndex: 28% of RAG-focused projects
  value reference: LangChain
additional property: Setup Time for Basic RAG
  type: PropertyValue
  value: LangChain: 25-40 minutes | LlamaIndex: 5-10 minutes
  value reference: LlamaIndex
additional property: Production Monitoring Tools
  type: PropertyValue
  value: LangChain: LangSmith (dedicated platform) | LlamaIndex: Basic logging via LlamaDebug
additional property: LLM Provider Integrations
  type: PropertyValue
  value: LangChain: 50+ | LlamaIndex: 40+
  value reference: LangChain
additional property: Vector Store Integrations
  type: PropertyValue
  value: LangChain: 30+ | LlamaIndex: 35+
  value reference: LlamaIndex
additional property: Primary Language
  type: PropertyValue
  value: LangChain: Python | LlamaIndex: N/A
additional property: Azure OpenAI Integration Quality
  type: PropertyValue
  value: LangChain: Community-maintained, requires manual configuration | LlamaIndex: N/A
additional property: Release Frequency
  type: PropertyValue
  value: LangChain: 24+ | LlamaIndex: N/A
additional property: Community Size
  type: PropertyValue
  value: LangChain: 35,000+ | LlamaIndex: N/A
additional property: Microsoft Copilot Integration
  type: PropertyValue
  value: LangChain: Limited, requires plugins | LlamaIndex: N/A
additional property: Monthly NPM/PyPI Downloads
  type: PropertyValue
  value: LangChain: 5.2 million | LlamaIndex: 180,000+
  value reference: LangChain
additional property: Memory Types Supported
  type: PropertyValue
  value: LangChain: 8 (buffer, entity, KG, summary, etc.) | LlamaIndex: N/A
additional property: Document Processors Available
  type: PropertyValue
  value: LangChain: 5 (basic loaders) | LlamaIndex: N/A
additional property: Typical Memory Footprint (Loaded State)
  type: PropertyValue
  value: LangChain: 512-768 MB | LlamaIndex: N/A
additional property: Agent Types
  type: PropertyValue
  value: LangChain: 12+ (ReAct, MRKL, Plan-and-Execute, OpenAI tools) | LlamaIndex: N/A
additional property: Weekly npm Downloads
  type: PropertyValue
  value: LangChain: 25,000 | LlamaIndex: N/A
additional property: LLM Provider Support
  type: PropertyValue
  value: LangChain: 100+ | LlamaIndex: 25+
  value reference: LangChain
additional property: Production Adoption Rate
  type: PropertyValue
  value: LangChain: 70% | LlamaIndex: N/A
additional property: Multi-Agent Orchestration Complexity
  type: PropertyValue
  value: LangChain: 150-300 | LlamaIndex: N/A
additional property: Documentation Maturity
  type: PropertyValue
  value: LangChain: 500+ | LlamaIndex: N/A
additional property: First Release Date
  type: PropertyValue
  value: LangChain: October 2022 | LlamaIndex: N/A
additional property: Pre-built Integrations
  type: PropertyValue
  value: LangChain: 150+ | LlamaIndex: N/A
additional property: Official Memory Types
  type: PropertyValue
  value: LangChain: 7 specialized memory types | LlamaIndex: N/A
additional property: Multi-Agent Native Support
  type: PropertyValue
  value: LangChain: No (requires custom code) | LlamaIndex: N/A
additional property: Minimum Python Version
  type: PropertyValue
  value: LangChain: 3.8+ | LlamaIndex: N/A
additional property: Documentation Pages (Estimated)
  type: PropertyValue
  value: LangChain: 500+ | LlamaIndex: N/A
additional property: Active Contributors
  type: PropertyValue
  value: LangChain: 200+ | LlamaIndex: N/A
additional property: Number of Integrated LLM Providers
  type: PropertyValue
  value: LangChain: 25+ providers | LlamaIndex: N/A
additional property: Available Pre-trained Models
  type: PropertyValue
  value: LangChain: Integrates with external sources | LlamaIndex: N/A
additional property: Native Model Hosting
  type: PropertyValue
  value: LangChain: No (external integration required) | LlamaIndex: N/A
additional property: GitHub Stars (2026)
  type: PropertyValue
  value: LangChain: 95,000+ stars | LlamaIndex: 32,000
  value reference: LangChain
additional property: Programming Languages Supported
  type: PropertyValue
  value: LangChain: Python, JavaScript/TypeScript | LlamaIndex: N/A
additional property: Time to Build Basic RAG App
  type: PropertyValue
  value: LangChain: 30-60 minutes (with documentation) | LlamaIndex: N/A
additional property: Fine-tuning Ease (1-10 scale)
  type: PropertyValue
  value: LangChain: Requires manual setup (6/10) | LlamaIndex: N/A
additional property: Cost for Production Deployment (monthly estimate)
  type: PropertyValue
  value: LangChain: $200-1000+ (depends on LLM provider) | LlamaIndex: N/A
additional property: Available Models in Repository
  type: PropertyValue
  value: LangChain: 0 (integrates externally) | LlamaIndex: N/A
additional property: Memory Management Features
  type: PropertyValue
  value: LangChain: 6 (Buffer, Summary, Entity, Vector, Knowledge Graph, Multi-window) | LlamaIndex: N/A
additional property: Enterprise Support Plans Available
  type: PropertyValue
  value: LangChain: Yes (LangChain Plus paid tier) | LlamaIndex: N/A
additional property: Average Model Download Time
  type: PropertyValue
  value: LangChain: N/A (framework only) | LlamaIndex: N/A
additional property: RAG Pipeline Support
  type: PropertyValue
  value: LangChain: Native with document loaders and retrievers | LlamaIndex: N/A
additional property: Python Package Downloads (Monthly)
  type: PropertyValue
  value: LangChain: 8,500,000+ | LlamaIndex: N/A
additional property: GitHub Stars
  type: PropertyValue
  value: LangChain: 85,000+ | LlamaIndex: 58,000+
  value reference: LangChain
additional property: LLM Integrations
  type: PropertyValue
  value: LangChain: 100+ | LlamaIndex: 45+ providers
  value reference: LangChain
additional property: Time to First Agent (minutes)
  type: PropertyValue
  value: LangChain: 30-45 minutes | LlamaIndex: N/A
additional property: Production Maturity (years since launch)
  type: PropertyValue
  value: LangChain: 3+ years | LlamaIndex: N/A
additional property: Built-in Memory Types
  type: PropertyValue
  value: LangChain: 5+ types | LlamaIndex: N/A
interactivity type: active
significant link: https://www.aversusb.net/entity/langchain
significant link: https://www.aversusb.net/alternatives/langchain
significant link: https://www.aversusb.net/entity/llamaindex
significant link: https://www.aversusb.net/alternatives/llamaindex
significant link: https://www.aversusb.net/api/answer/langchain-vs-llamaindex))
significant link: https://www.aversusb.net/api/v1/schema/langchain-vs-llamaindex))
related link: https://www.aversusb.net/compare/langchain-vs-llamaindex
related link: https://www.aversusb.net/compare/langchain-vs-llamaindex)
related link: https://www.aversusb.net/compare/llamaindex-vs-semantic-kernel
related link: https://www.aversusb.net/compare/llamaindex-vs-pinecone
related link: https://www.aversusb.net/compare/llamaindex-vs-weaviate
related link: https://www.aversusb.net/compare/llamaindex-vs-hugging-face
related link: https://www.aversusb.net/compare/llamaindex-vs-haystack
related link: https://www.aversusb.net/compare/langchain-vs-semantic-kernel
teaches: How to choose between LangChain and LlamaIndex
genre: Software

primaryImage
type: ImageObject
width: 1200
height: 630
caption: LangChain vs LlamaIndex — Side-by-side comparison on A Versus B

A Versus B
type: Organization

LangChain
type: SoftwareApplication
alternate name: Langchain
language: en-US
description: Open-source framework for building LLM-powered applications with chains, agents, and memory management.
subject of: LangChain vs LlamaIndex

LlamaIndex
type: SoftwareApplication
alternate name: Llamaindex
language: en-US
description: Specialized framework for retrieval-augmented generation with advanced document indexing and structured data querying.
subject of: LangChain vs LlamaIndex

LangChain vs LlamaIndex — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for LangChain vs LlamaIndex. Contains 112 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: JSON-LD knowledge graph
  type: DataDownload
  encoding format: application/json+ld
distribution: Raw comparison JSON
  type: DataDownload
  encoding format: application/json
distribution: Structured FAQ pairs JSON
  type: DataDownload
  encoding format: application/json
distribution: AI Answer API (citation-ready)
  type: DataDownload
  encoding format: application/json
distribution: Related comparisons JSON
  type: DataDownload
  encoding format: application/json
variable measured: Vector Store Support
  type: PropertyValue
  value reference: Features
variable measured: RAG Pipeline Maturity
  type: PropertyValue
  value reference: RAG Capability
variable measured: Agent Framework Maturity
  type: PropertyValue
  value reference: Agent Capability
variable measured: Enterprise Market Share
  type: PropertyValue
  value reference: Market Position
variable measured: Setup Time for Basic RAG
  type: PropertyValue
  value reference: Ease of Use
variable measured: Production Monitoring Tools
  type: PropertyValue
  value reference: Production Readiness
variable measured: LLM Provider Integrations
  type: PropertyValue
  value reference: Integration Support
variable measured: Vector Store Integrations
  type: PropertyValue
  value reference: Integration Support
variable measured: Primary Language
  type: PropertyValue
  value reference: Developer Experience
variable measured: Azure OpenAI Integration Quality
  type: PropertyValue
  value reference: Cloud Integration
variable measured: Release Frequency
  type: PropertyValue
  value reference: Development
variable measured: Community Size
  type: PropertyValue
  value reference: Support
variable measured: Microsoft Copilot Integration
  type: PropertyValue
  value reference: Enterprise Features
variable measured: Monthly NPM/PyPI Downloads
  type: PropertyValue
  value reference: Community Adoption
variable measured: Memory Types Supported
  type: PropertyValue
  value reference: Features
variable measured: Document Processors Available
  type: PropertyValue
  value reference: Features
variable measured: Typical Memory Footprint (Loaded State)
  type: PropertyValue
  value reference: Performance
variable measured: Agent Types
  type: PropertyValue
  value reference: Features
variable measured: Weekly npm Downloads
  type: PropertyValue
  value reference: Popularity
variable measured: LLM Provider Support
  type: PropertyValue
  value reference: Integration
variable measured: Production Adoption Rate
  type: PropertyValue
  value reference: Industry Use
variable measured: Multi-Agent Orchestration Complexity
  type: PropertyValue
  value reference: Ease of Use
variable measured: Documentation Maturity
  type: PropertyValue
  value reference: Learning
variable measured: First Release Date
  type: PropertyValue
  value reference: Maturity
variable measured: Pre-built Integrations
  type: PropertyValue
  value reference: Features
variable measured: Official Memory Types
  type: PropertyValue
  value reference: Features
variable measured: Multi-Agent Native Support
  type: PropertyValue
  value reference: Architecture
variable measured: Minimum Python Version
  type: PropertyValue
  value reference: Requirements
variable measured: Documentation Pages (Estimated)
  type: PropertyValue
  value reference: Documentation
variable measured: Active Contributors
  type: PropertyValue
  value reference: Community
variable measured: Number of Integrated LLM Providers
  type: PropertyValue
  value reference: Integration & Compatibility
variable measured: Available Pre-trained Models
  type: PropertyValue
  value reference: Ecosystem
variable measured: Native Model Hosting
  type: PropertyValue
  value reference: Deployment
variable measured: GitHub Stars (2026)
  type: PropertyValue
  value reference: Community
variable measured: Programming Languages Supported
  type: PropertyValue
  value reference: Features
variable measured: Time to Build Basic RAG App
  type: PropertyValue
  value reference: Development Speed
variable measured: Fine-tuning Ease (1-10 scale)
  type: PropertyValue
  value reference: Model Customization
variable measured: Cost for Production Deployment (monthly estimate)
  type: PropertyValue
  value reference: Pricing
variable measured: Available Models in Repository
  type: PropertyValue
  value reference: Coverage
variable measured: Memory Management Features
  type: PropertyValue
  value reference: LLM Orchestration
variable measured: Enterprise Support Plans Available
  type: PropertyValue
  value reference: Support
variable measured: Average Model Download Time
  type: PropertyValue
  value reference: Performance
variable measured: RAG Pipeline Support
  type: PropertyValue
  value reference: LLM Orchestration
variable measured: Python Package Downloads (Monthly)
  type: PropertyValue
  value reference: Adoption
variable measured: GitHub Stars
  type: PropertyValue
  value reference: Community Adoption
variable measured: LLM Integrations
  type: PropertyValue
  value reference: Features
variable measured: Time to First Agent (minutes)
  type: PropertyValue
  value reference: Ease of Use
variable measured: Production Maturity (years since launch)
  type: PropertyValue
  value reference: Stability
variable measured: Built-in Memory Types
  type: PropertyValue
  value reference: Features
variable measured: Agent Orchestration Complexity
  type: PropertyValue
  value reference: Features
variable measured: Memory Types Available
  type: PropertyValue
  value reference: Features
variable measured: RAG Retrieval Speed (vs baseline)
  type: PropertyValue
  value reference: Performance
variable measured: Community Discord Members
  type: PropertyValue
  value reference: Community & Adoption
variable measured: Monthly Active Commits
  type: PropertyValue
  value reference: Development
variable measured: Learning Curve Complexity
  type: PropertyValue
  value reference: Ease of Use
variable measured: LLM Model Integrations
  type: PropertyValue
  value reference: Features & Flexibility
variable measured: Azure OpenAI Integration Depth
  type: PropertyValue
  value reference: Cloud Integration
variable measured: Latest Stable Release Cycle
  type: PropertyValue
  value reference: Maintenance & Updates
variable measured: Enterprise Support Options
  type: PropertyValue
  value reference: Support & Services
variable measured: JavaScript/TypeScript Support Level
  type: PropertyValue
  value reference: Technical Stack
variable measured: Third-party Integrations
variable measured: Token Efficiency (Tokens Per Task)
variable measured: Production Adoption
variable measured: Time to Build Multi-Agent System
variable measured: Initial Release Date
variable measured: API Stability
variable measured: Pre-trained Models Available
variable measured: Monthly Active Users
variable measured: Setup Time (Hello World)
is based on: https://www.aversusb.net/compare/langchain-vs-llamaindex))

LangChain vs LlamaIndex — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for LangChain vs LlamaIndex.
has defined term: Features
has defined term: RAG Capability
has defined term: Agent Capability
has defined term: Market Position
has defined term: Ease of Use
has defined term: Production Readiness
has defined term: Integration Support
has defined term: Developer Experience
has defined term: Cloud Integration
has defined term: Development
has defined term: Support
has defined term: Enterprise Features
has defined term: Community Adoption
has defined term: Performance
has defined term: Popularity
has defined term: Integration
has defined term: Industry Use
has defined term: Learning
has defined term: Maturity
has defined term: Architecture
has defined term: Requirements
has defined term: Documentation
has defined term: Community
has defined term: Integration & Compatibility
has defined term: Ecosystem
has defined term: Deployment
has defined term: Development Speed
has defined term: Model Customization
has defined term: Pricing
has defined term: Coverage
has defined term: LLM Orchestration
has defined term: Adoption
has defined term: Stability
has defined term: Community & Adoption
has defined term: Features & Flexibility
has defined term: Maintenance & Updates
has defined term: Support & Services
has defined term: Technical Stack
has defined term: Integrations
has defined term: Reliability
has defined term: Scale
has defined term: User Base
has defined term: Infrastructure
has defined term: DevOps Features
has defined term: Core Features
has defined term: Licensing
has defined term: Compatibility
has defined term: Model Support
has defined term: User Experience
has defined term: Enterprise Integration
has defined term: Maintenance
has defined term: Usability
has defined term: Scalability
has defined term: Ecosystem & Community
has defined term: Document Processing
has defined term: Search Capabilities

Features
type: DefinedTerm
term code: features
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

RAG Capability
type: DefinedTerm
term code: rag-capability
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Agent Capability
type: DefinedTerm
term code: agent-capability
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Market Position
type: DefinedTerm
term code: market-position
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Ease of Use
type: DefinedTerm
term code: ease-of-use
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Production Readiness
type: DefinedTerm
term code: production-readiness
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Integration Support
type: DefinedTerm
term code: integration-support
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Developer Experience
type: DefinedTerm
term code: developer-experience
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Cloud Integration
type: DefinedTerm
term code: cloud-integration
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Development
type: DefinedTerm
term code: development
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Support
type: DefinedTerm
term code: support
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Enterprise Features
type: DefinedTerm
term code: enterprise-features
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Community Adoption
type: DefinedTerm
term code: community-adoption
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Popularity
type: DefinedTerm
term code: popularity
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Industry Use
type: DefinedTerm
term code: industry-use
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Learning
type: DefinedTerm
term code: learning
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Maturity
type: DefinedTerm
term code: maturity
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Requirements
type: DefinedTerm
term code: requirements
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Documentation
type: DefinedTerm
term code: documentation
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Integration & Compatibility
type: DefinedTerm
term code: integration-&-compatibility
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Development Speed
type: DefinedTerm
term code: development-speed
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Model Customization
type: DefinedTerm
term code: model-customization
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Pricing
type: DefinedTerm
term code: pricing
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Coverage
type: DefinedTerm
term code: coverage
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

LLM Orchestration
type: DefinedTerm
term code: llm-orchestration
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Stability
type: DefinedTerm
term code: stability
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Community & Adoption
type: DefinedTerm
term code: community-&-adoption
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Features & Flexibility
type: DefinedTerm
term code: features-&-flexibility
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Maintenance & Updates
type: DefinedTerm
term code: maintenance-&-updates
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Support & Services
type: DefinedTerm
term code: support-&-services
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Technical Stack
type: DefinedTerm
term code: technical-stack
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Integrations
type: DefinedTerm
term code: integrations
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Scale
type: DefinedTerm
term code: scale
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

User Base
type: DefinedTerm
term code: user-base
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Infrastructure
type: DefinedTerm
term code: infrastructure
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

DevOps Features
type: DefinedTerm
term code: devops-features
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Core Features
type: DefinedTerm
term code: core-features
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Licensing
type: DefinedTerm
term code: licensing
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Compatibility
type: DefinedTerm
term code: compatibility
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Model Support
type: DefinedTerm
term code: model-support
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

User Experience
type: DefinedTerm
term code: user-experience
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Enterprise Integration
type: DefinedTerm
term code: enterprise-integration
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Maintenance
type: DefinedTerm
term code: maintenance
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Usability
type: DefinedTerm
term code: usability
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Scalability
type: DefinedTerm
term code: scalability
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Ecosystem & Community
type: DefinedTerm
term code: ecosystem-&-community
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Document Processing
type: DefinedTerm
term code: document-processing
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

Search Capabilities
type: DefinedTerm
term code: search-capabilities
in defined term set: LangChain vs LlamaIndex — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-09T03:33:54.965Z
author: A Versus B
publisher: A Versus B
is part of: langchain-vs-llamaindex))
main entity: Which framework should I choose for a ChatGPT-style document Q&A bot?
  type: Question
  accepted answer: Answer
    text: LlamaIndex is the better choice for document Q&A. Its indexing pipeline is optimized for RAG, requiring ~60% less boilerplate code than LangChain. LlamaIndex handles chunking, metadata extraction, and retrieval automatically, getting you to production in 10-15 minutes versus 25-35 minutes with LangChain.
    language: en-US
main entity: Which has better LLM provider flexibility?
  type: Question
  accepted answer: Answer
    text: LangChain supports 50+ LLM providers (OpenAI, Anthropic, Ollama, Bedrock, HuggingFace, Cohere, Together AI, etc.) versus LlamaIndex's 40+. For multi-model strategies or avoiding vendor lock-in, LangChain provides more options, though both support all major providers.
    language: en-US
main entity: Can I use both LangChain and LlamaIndex together?
  type: Question
  accepted answer: Answer
    text: Yes, they integrate well. A common pattern is using LlamaIndex for RAG (document indexing/retrieval) and LangChain for orchestration (chaining RAG with agents, memory, and tools). This leverages each framework's strengths—LlamaIndex for data retrieval, LangChain for workflow logic.
    language: en-US
main entity: Which has better production monitoring capabilities?
  type: Question
  accepted answer: Answer
    text: LangChain offers superior production observability with LangSmith, a native platform providing tracing, debugging, evaluations, and performance analytics. LlamaIndex relies on external logging and monitoring solutions, making LangChain the better choice for teams requiring comprehensive observability.
    language: en-US
main entity: Which is easier to learn for beginners?
  type: Question
  accepted answer: Answer
    text: LlamaIndex has a gentler learning curve if your focus is RAG—you can build a working system with minimal concepts. LangChain requires understanding chains, agents, memory, and runnables, making it steeper for beginners but more powerful for complex workflows.
    language: en-US

How to Choose Between LangChain and LlamaIndex
type: HowTo
description: LangChain is a general-purpose LLM orchestration framework excelling at multi-step agent workflows and diverse integrations, while LlamaIndex specializes in retrieval-augmented generation (RAG) with superior document indexing and querying capabilities for structured data extraction.
language: en-US
total time: PT3M
step: Consider: Primary Use Case Focus
step: Consider: Supported LLM Integrations
step: Consider: Vector Store Integrations
step: Consider: Community Activity (GitHub Stars)
step: Consider: Documentation Depth
step: Consider: Learning Curve for RAG Tasks
step: Consider: Production Deployment Maturity
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose LangChain if you're building complex agent-based systems, need extensive LLM provider flexibility, or require advanced memory management and observability tools like LangSmith. Choose LlamaIndex if your primary goal is RAG, you need best-in-class document indexing, superior vector database integration, and a simpler learning curve for retrieval pipelines.

Consider: Primary Use Case Focus
type: HowToStep
position: 1
text: Primary Use Case Focus: LangChain has Multi-step agent orchestration, chains, memory management, while LlamaIndex has Retrieval-augmented generation, document indexing, data querying.

Consider: Supported LLM Integrations
type: HowToStep
position: 2
text: Supported LLM Integrations: LangChain has 50+ LLM providers (OpenAI, Anthropic, Ollama, Bedrock, Azure, HuggingFace, etc.), while LlamaIndex has 40+ LLM providers (similar coverage, slightly fewer options).

Consider: Vector Store Integrations
type: HowToStep
position: 3
text: Vector Store Integrations: LangChain has 30+ vector databases (Pinecone, Weaviate, Chroma, Faiss, Milvus, etc.), while LlamaIndex has 35+ vector databases (broader vector DB ecosystem support).

Consider: Community Activity (GitHub Stars)
type: HowToStep
position: 4
text: Community Activity (GitHub Stars): LangChain has 85,000+ stars (as of 2026), while LlamaIndex has 58,000+ stars (as of 2026).

Consider: Documentation Depth
type: HowToStep
position: 5
text: Documentation Depth: LangChain has Comprehensive but broad (covers many use cases, less focused), while LlamaIndex has Narrower but deeper RAG-specific documentation.

Consider: Learning Curve for RAG Tasks
type: HowToStep
position: 6
text: Learning Curve for RAG Tasks: LangChain has Steeper (must understand chains, agents, memory concepts), while LlamaIndex has Gentler (RAG abstractions are more intuitive).

Consider: Production Deployment Maturity
type: HowToStep
position: 7
text: Production Deployment Maturity: LangChain has Highly mature with LangSmith observability platform, while LlamaIndex has Mature but fewer native observability tools.

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: LangChain vs LlamaIndex
review body: LangChain is a general-purpose LLM orchestration framework excelling at multi-step agent workflows and diverse integrations, while LlamaIndex specializes in retrieval-augmented generation (RAG) with superior document indexing and querying capabilities for structured data extraction.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: LangChain vs LlamaIndex

Agent Orchestration Complexity
type: PropertyValue
value: LangChain: Manual agent coordination required | LlamaIndex: N/A

Memory Types Available
type: PropertyValue
value: LangChain: 7+ | LlamaIndex: 3
value reference: LangChain

RAG Retrieval Speed (vs baseline)
type: PropertyValue
value: LangChain: Baseline (100%) | LlamaIndex: +25-30% faster
value reference: LlamaIndex

Community Discord Members
type: PropertyValue
value: LangChain: ~5,000+ | LlamaIndex: 18,000+
value reference: LlamaIndex

Monthly Active Commits
type: PropertyValue
value: LangChain: 15,000+ | LlamaIndex: 3,500+
value reference: LangChain

Learning Curve Complexity
type: PropertyValue
value: LangChain: 8/10 (Steep) | LlamaIndex: 5/10 (Moderate)
value reference: LlamaIndex

LLM Model Integrations
type: PropertyValue
value: LangChain: 90+ | LlamaIndex: 70+
value reference: LangChain

Azure OpenAI Integration Depth
type: PropertyValue
value: LangChain: Standard (community-maintained) | LlamaIndex: N/A

Latest Stable Release Cycle
type: PropertyValue
value: LangChain: 2-3 weeks | LlamaIndex: N/A

Enterprise Support Options
type: PropertyValue
value: LangChain: Available (LangChain Plus, third-party vendors) | LlamaIndex: N/A

JavaScript/TypeScript Support Level
type: PropertyValue
value: LangChain: Full support (LangChain.js) | LlamaIndex: N/A

Third-party Integrations
type: PropertyValue
value: LangChain: 200+ integrations | LlamaIndex: N/A

Token Efficiency (Tokens Per Task)
type: PropertyValue
value: LangChain: Baseline (100%) | LlamaIndex: N/A

Production Adoption
type: PropertyValue
value: LangChain: 2,000+ enterprises | LlamaIndex: N/A

Time to Build Multi-Agent System
type: PropertyValue
value: LangChain: 40-60 hours with manual orchestration | LlamaIndex: N/A

Initial Release Date
type: PropertyValue
value: LangChain: 2022 | LlamaIndex: N/A

API Stability
type: PropertyValue
value: LangChain: 2-3 breaking changes | LlamaIndex: N/A

Pre-trained Models Available
type: PropertyValue
value: LangChain: 50+ LLM integrations | LlamaIndex: N/A

Monthly Active Users
type: PropertyValue
value: LangChain: 50,000+ | LlamaIndex: N/A

Setup Time (Hello World)
type: PropertyValue
value: LangChain: 5-10 min | LlamaIndex: N/A

Free Hosting Included
type: PropertyValue
value: LangChain: No (BYO infrastructure) | LlamaIndex: N/A

Inference API Latency
type: PropertyValue
value: LangChain: 50-200ms (provider dependent) | LlamaIndex: N/A

Primary Language Support
type: PropertyValue
value: LangChain: Python & JavaScript equally | LlamaIndex: Python (primary), TypeScript/JavaScript

Documentation Pages
type: PropertyValue
value: LangChain: 500+ | LlamaIndex: 500+

RAG Setup Time (Baseline Task)
type: PropertyValue
value: LangChain: 25-35 minutes | LlamaIndex: 10-15 minutes
value reference: LlamaIndex

Production Observability
type: PropertyValue
value: LangChain: Native LangSmith platform with debugging, tracing, evaluation | LlamaIndex: Limited native tools, integrates with external logging

Document Indexing Speed (1000 PDFs)
type: PropertyValue
value: LangChain: 120-180 seconds | LlamaIndex: 80-120 seconds
value reference: LlamaIndex

API Documentation Coverage
type: PropertyValue
value: LangChain: 92% (broad but less RAG-focused) | LlamaIndex: 88% (deeper RAG coverage)
value reference: LangChain

Agent Orchestration Maturity
type: PropertyValue
value: LangChain: Advanced (ReAct agents, tool-use, multi-step planning) | LlamaIndex: Basic (limited agent capabilities)

Enterprise Support Available
type: PropertyValue
value: LangChain: N/A | LlamaIndex: Yes (LlamaIndex Cloud)

License Type
type: PropertyValue
value: LangChain: N/A | LlamaIndex: MIT (open source)

Vector Database Integrations
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 20+ (Pinecone, Weaviate, Milvus, Qdrant, Chroma, etc.)

LLM Model Providers Supported
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 40+ (OpenAI, Claude, Gemini, Ollama, LLaMA, etc.)

Average Setup Time
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 2-4 hours

Enterprise Connectors
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 20+ (Slack, Notion, Google Workspace, etc.)

Azure/Microsoft Ecosystem Integration
type: PropertyValue
value: LangChain: N/A | LlamaIndex: Minimal (basic Azure OpenAI support)

Latest Release Activity
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 150+ commits/month

Pre-trained Models
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 100+ integrations

Data Connectors/Loaders
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 200+

Transformers Library Monthly Downloads
type: PropertyValue
value: LangChain: N/A | LlamaIndex: Not tracked separately

Primary Use Case Optimization
type: PropertyValue
value: LangChain: N/A | LlamaIndex: RAG and retrieval-augmented systems

Production Observability Features
type: PropertyValue
value: LangChain: N/A | LlamaIndex: Built-in logging, caching, callback handlers

API Inference Service
type: PropertyValue
value: LangChain: N/A | LlamaIndex: No native inference API

Learning Curve (weeks to productivity)
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 1-2 weeks

Data Connectors
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 100+

Setup Time
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 20

Minimum Deployment Size
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 200

Retrieval Strategy Types
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 6+ (hybrid, fusion, reranking, hierarchical, etc.)

Storage Backends
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 8+ (via supported vector DB integrations)

Setup Time (Minutes)
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 120-240

Supported Data Sources
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 100+ data connectors

Query Latency (P95)
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 200-500

Maximum Embeddings
type: PropertyValue
value: LangChain: N/A | LlamaIndex: Unlimited (via Pinecone/Weaviate)

LLM Integration
type: PropertyValue
value: LangChain: N/A | LlamaIndex: Native (built-in agents)

Learning Curve (Hours)
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 8-20

Production Deployments Reported
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 2,000+

GitHub Stars (Community Size)
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 32,500+

Vector Store Connectors
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 45+

Document Format Support
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 12 formats (PDF, DOCX, TXT, JSON, CSV)

Setup Time (Minutes to First Query)
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 5-10 minutes

Hybrid Search Support (BM25 + Dense)
type: PropertyValue
value: LangChain: N/A | LlamaIndex: Partial (requires custom implementation)

Production Monitoring/Debugging Tools
type: PropertyValue
value: LangChain: N/A | LlamaIndex: Limited (logging integration available)

Python Version Support
type: PropertyValue
value: LangChain: N/A | LlamaIndex: 3.8+

SpeakableSpecification
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LangChain — Wikipedia
type: CreativeWork

LlamaIndex — Wikipedia
type: CreativeWork

Compare LangChain vs LlamaIndex
type: Action
additional type: CompareAction
target: https://www.aversusb.net/compare/langchain-vs-llamaindex))
object: LangChain
object: LlamaIndex

Third-party Integrations
type: PropertyValue
value reference: Integrations

Token Efficiency (Tokens Per Task)
type: PropertyValue
value reference: Performance

Production Adoption
type: PropertyValue
value reference: Maturity

Time to Build Multi-Agent System
type: PropertyValue
value reference: Development Speed

Initial Release Date
type: PropertyValue
value reference: Maturity

API Stability
type: PropertyValue
value reference: Reliability

Pre-trained Models Available
type: PropertyValue
value reference: Scale

Monthly Active Users
type: PropertyValue
value reference: User Base

Setup Time (Hello World)
type: PropertyValue
value reference: Developer Experience

Free Hosting Included
type: PropertyValue
value reference: Infrastructure

Inference API Latency
type: PropertyValue
value reference: Performance

Primary Language Support
type: PropertyValue
value reference: Developer Experience

Documentation Pages
type: PropertyValue
value reference: Support

RAG Setup Time (Baseline Task)
type: PropertyValue
value reference: Ease of Use

Production Observability
type: PropertyValue
value reference: DevOps Features

Document Indexing Speed (1000 PDFs)
type: PropertyValue
value reference: Performance

API Documentation Coverage
type: PropertyValue
value reference: Documentation

Agent Orchestration Maturity
type: PropertyValue
value reference: Core Features

Enterprise Support Available
type: PropertyValue
value reference: Support

License Type
type: PropertyValue
value reference: Licensing

Vector Database Integrations
type: PropertyValue
value reference: Compatibility

LLM Model Providers Supported
type: PropertyValue
value reference: Model Support

Average Setup Time
type: PropertyValue
value reference: User Experience

Enterprise Connectors
type: PropertyValue
value reference: Enterprise Integration

Azure/Microsoft Ecosystem Integration
type: PropertyValue
value reference: Enterprise Features

Latest Release Activity
type: PropertyValue
value reference: Maintenance

Pre-trained Models
type: PropertyValue
value reference: Ecosystem

Data Connectors/Loaders
type: PropertyValue
value reference: Integration

Transformers Library Monthly Downloads
type: PropertyValue
value reference: Adoption

Primary Use Case Optimization
type: PropertyValue
value reference: Features

Production Observability Features
type: PropertyValue
value reference: Production Readiness

API Inference Service
type: PropertyValue
value reference: Deployment

Learning Curve (weeks to productivity)
type: PropertyValue
value reference: Usability

Data Connectors
type: PropertyValue
value reference: Integration

Setup Time
type: PropertyValue
value reference: User Experience

Minimum Deployment Size
type: PropertyValue
value reference: Performance

Retrieval Strategy Types
type: PropertyValue
value reference: Features

Storage Backends
type: PropertyValue
value reference: Features

Setup Time (Minutes)
type: PropertyValue
value reference: Ease of Use

Supported Data Sources
type: PropertyValue
value reference: Features

Query Latency (P95)
type: PropertyValue
value reference: Performance

Maximum Embeddings
type: PropertyValue
value reference: Scalability

LLM Integration
type: PropertyValue
value reference: Features

Learning Curve (Hours)
type: PropertyValue
value reference: Ease of Use

Production Deployments Reported
type: PropertyValue
value reference: Adoption

GitHub Stars (Community Size)
type: PropertyValue
value reference: Ecosystem & Community

Vector Store Connectors
type: PropertyValue
value reference: Integrations

Document Format Support
type: PropertyValue
value reference: Document Processing

Setup Time (Minutes to First Query)
type: PropertyValue
value reference: Developer Experience

Hybrid Search Support (BM25 + Dense)
type: PropertyValue
value reference: Search Capabilities

Production Monitoring/Debugging Tools
type: PropertyValue
value reference: Production Readiness

Python Version Support
type: PropertyValue
value reference: Compatibility