Tag: langchain
Browse 3 practical software engineering resources tagged with "langchain". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving langchain. Each resource is written for engineers who ship real systems, with copy-paste examples and practical trade-offs.
LangChain
LangChain is a framework for building applications with language models. It provides abstractions for chains, agents, tools, and memory.
The resources below cover LangChain chains, agents, prompts, vector stores, and RAG. Each guide helps you build LLM applications faster.
Every resource includes clear explanations, copy-paste code, and practical warnings. Use them to make informed decisions, avoid production pitfalls, and speed up your delivery. If you are just getting started, read the beginner-friendly articles first; if you are experienced, jump straight to the advanced patterns and architecture guides. New resources are added regularly, so bookmark this page and check back for the latest patterns.
Build Stateful AI Agents with LangGraph State Machines
Create multi-step AI agents with LangGraph using state machines, conditional edges, tool calling,...
Compose LCEL Chains in LangChain for Multi-Step LLM
Build composable LLM pipelines with LangChain Expression Language (LCEL) using pipes, parallel...
Complete Guide to LangChain in Production
Run LangChain in production. Covers chains, agents, memory, tools, LCEL, streaming, callbacks, RAG...