Overview
LangChain is an open-source framework that makes it easy to build applications with large language models (LLMs). It provides a standardized interface for working with different LLM providers and building complex AI applications.
Key Features
- Model Integration: Works with OpenAI, Anthropic, Cohere, and more
- Chains: Combine multiple LLM calls into workflows
- Memory: Add context and history to conversations
- Agents: Let LLMs use tools and make decisions
- Retrieval: Connect LLMs to your data (RAG)
Quick Start
from langchain.chat_models import ChatOpenAI
from langchain.schema import HumanMessage
chat = ChatOpenAI(model="gpt-4")
response = chat([HumanMessage(content="Hello, LangChain!")])
print(response.content)
Architecture
┌─────────────────┐ │ Your App │ ├─────────────────┤ │ LangChain │ ├─────────────────┤ │ LLM Provider │ │ (OpenAI, etc) │ └─────────────────┘
Installation
pip install langchain langchain-openai
Resources
- Documentation
- GitHub Repository
- LangSmith - Debug and monitor
Source: GitHub