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4.4 out of 5 stars. Excellent.
4.4(5800)

LangChain

Open-source framework for building LLM-powered applications with chains, agents, and retrieval-augmented generation.

Free to start·Best for ·1 min
Updated April 9, 2026Certified
APIOpen Source
1

What is LangChain?

LangChain is the most popular open-source framework for developing applications powered by large language models. It provides tools for building chains, agents, RAG pipelines, and multi-step reasoning workflows, making it the go-to choice for AI developers.

Best for: Developers building LLM applications · Teams building RAG and agent systems · Startups prototyping AI features rapidly

2

Developer Stack Fit

Engineering evaluation

Quick read on where LangChain fits in a software team's AI stack. Validate final fit against your codebase, data policy, and deployment model.

Methodology
Stack layer
Agent Frameworks
Deployment model
Open-source deployable
Open-source status
Yes or source-available
API support
API or integration-friendly
MCP support
No MCP signal found
Security posture
Review vendor privacy and data retention
Best use case
Developers building LLM applications

Product media

Interface proof

No verified product screenshots yet.

NeuralStackly keeps the page useful with pricing, stack-fit, alternatives, and launch-risk notes instead of fake interface previews.

3

Key Features

  1. 01

    Chain and agent orchestration for LLM workflows

    LLM chain and agent orchestration

  2. 02

    Built-in RAG (Retrieval Augmented Generation) support

    Built-in RAG pipeline support

  3. 03

    100+ integrations with LLM providers and data sources

    LangSmith tracing and debugging

  4. 04

    LangSmith for tracing, debugging, and evaluation

    A core developer-tools capability that teams use daily.

  5. 05

    LangGraph for building stateful agent workflows

    A core developer-tools capability that teams use daily.

  6. 06

    Python and TypeScript/JavaScript support

    A core developer-tools capability that teams use daily.

  7. 07

    Extensive documentation and community

    A core developer-tools capability that teams use daily.

4

Pros & Cons

What stands out

  • Largest ecosystem of LLM integrations
  • Active open-source community
  • LangSmith debugging is excellent
  • Both Python and TypeScript support

Watch outs

  • Frequent API changes between versions
  • Steep learning curve for agents
  • Documentation sometimes lags behind releases
  • Can be overkill for simple use cases
5

Pricing Plans

LangChain Pricing

Choose the perfect plan for your needs. All plans include our core features with different usage limits and advanced capabilities.

0 day free trial available on all paid plans

Open Source

Free
Full framework
Python & JS/TS
Community support
All integrations
Get Started Free
Most Popular

LangSmith (Pro)

$39/monthly
Tracing and debugging
Evaluation datasets
Prompt management
Team collaboration
Try LangChain

0 day free trial • No credit card required

LangSmith Team

$199/monthly
Everything in Pro
Unlimited traces
RBAC
Priority support
SOC 2
Try LangChain

0 day free trial • No credit card required

Need a Custom Solution?

Looking for enterprise features or custom pricing? Contact LangChain directly for tailored solutions.

Contact Sales

Most teams land on the LangSmith (Pro) plan.

6

Alternatives

ToolRatingPrice
LangChain4.4Free to startcurrent
Pinecone4.5Free to startview →
Vercel AI SDK4.6Free to startview →
Postman4.6Free to startview →
Algolia4.7Free to startview →
Snowflake Cortex AI4.5Free to startview →
7

FAQ

What is LangChain and how does it work?

LangChain is a developer-tools tool that open-source framework for building llm-powered applications with chains, agents, and retrieval-augmented generation.. It uses AI to help users improve productivity through analyzing input and generating relevant output.

How much does LangChain cost?

LangChain starts at $0/month. They offer a free trial so you can test it before committing.

Does LangChain have a free trial?

Yes — Free to try with no time limit.

What can LangChain do?

Building RAG-powered chatbots with custom knowledge bases
Creating multi-step AI agent workflows with tool use
Prototyping and deploying LLM applications at scale

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LangChain

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