All Tools
L
AgentsFreeOpen Source
LANGCHAIN
The standard library for LLM application development
MIT
ABOUT
Building LLM applications requires wiring together prompts, APIs, memory, tools, and external data — and doing this from scratch means reinventing the same boilerplate for every project. LangChain solves this by providing a unified abstraction layer: chains compose LLM calls sequentially, agents decide what tools to call at runtime, and memory persists context across turns. It's the difference between assembling components vs soldering circuits by hand.
INSTALL
npm install langchainINTEGRATION GUIDE
1. Build a RAG pipeline that answers questions from your company's PDF documents using vector retrieval
2. Create an autonomous research agent that searches the web, reads pages, and produces a structured report
3. Build a customer support chatbot with conversation memory that remembers previous interactions
4. Generate structured JSON output from unstructured text using output parsers
5. Orchestrate multi-step workflows where each LLM call feeds into the next
TAGS
pythonjavascriptllmagentsragchainsmemory