- Install LangChain —
pip install langchain langchain-anthropic - Set up a model —
from langchain_anthropic import ChatAnthropic; llm = ChatAnthropic(model="claude-sonnet-4-6") - Create a simple chain —
chain = prompt | llm | output_parser; chain.invoke({"topic": "AI"}) - Build a RAG pipeline — Load documents → Split → Embed → Store in vector DB → Retrieve → Generate.
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🤖 AI Agents & APIs★ Featured
LangChain
by LangChain
The most popular framework for building LLM-powered applications. Provides chains, agents, RAG, memory, and integrations with hundreds of tools and data sources.
frameworkRAGagentsPythonJavaScript
Quick Start
How-To Guides
2Load documents with DocumentLoaders. Split with RecursiveCharacterTextSplitter. Embed with OpenAIEmbeddings. Store in Chroma, Pinecone, or FAISS. Retrieve and pass to an LLM with create_retrieval_chain.
Tool Info
- Company
- LangChain
- Category
- 🤖 AI Agents & APIs
- How-to Guides
- 2
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frameworkRAGagentsPythonJavaScript
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