LangChain Review 2026: Complete Guide
The Bottom Line
It connects LLMs to other sources of data and computation....
Review by Editorial Team
AI Software Reviewer
Why We Like LangChain
Connect LLMs to your data
Switch models easily
Build complex flows
Best Use Cases for LangChain
How to Get Started with LangChain
Install via pip or npm
Set up your LLM provider (e.g., OpenAI)
Create a Chain or Agent
Run your application
Deep Dive Analysis
"This tool stands out because of its unique approach to coding workflows..."
LangChain is a framework that simplifies the creation of applications using LLMs. It offers tools for prompt management, chaining commands, memory, and connecting to external data sources.
Core Features
- Chains
- Agents
- Retrieval (RAG)
- Memory
- LangSmith Integration
Pricing & Plans
Open Source (MIT License). LangSmith (observability) has paid plans.
Frequently Asked Questions
What is LangChain used for?
It connects LLMs to other sources of data and computation.
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