Tagged langchain

Design LLM apps and agents with LangChain 1.x and LangGraph

Build stateful multi-actor agent graphs with LangGraph checkpoints

Fetch LangGraph docs for stateful graphs, multi-step flows and approval steps

Build LLM apps with LangChain agents, chains, tool calling and RAG retrieval

Trace, evaluate and monitor LLM applications with LangSmith datasets and tests

Build AI agents that act on Solana with 60+ actions, LangChain and MCP setup

Work on a LangChain or LangGraph agent project scaffolded by agents-cli

Scaffold a small RAG chatbot on Oracle 26ai Free with LangChain and Open WebUI

Scaffold a tool-calling agent over an Oracle schema with LangChain and in-db embeddings

Scaffold LangChain vector stores and chat history on Oracle with langchain-oracledb

Connect the Oracle database MCP server to a Python LLM agent as LangChain tools

Build LLM apps and agents with LangChain memory, tools and workflow patterns

Build production LangChain and LangGraph agents with tools and memory

Fetch current LangGraph documentation for accurate guidance on agent workflows

Choose between LangChain, LangGraph and Deep Agents before writing agent code

Install LangChain, LangGraph and LangSmith with correct versions and environment setup

Create LangChain agents with tools, middleware and human-in-the-loop handling

Add human approval, custom middleware and structured output to LangChain agents

Scaffold a minimal local LangChain agent in Python from the official quickstart

Build RAG pipelines with document loaders, text splitting, embeddings and vector stores

Scaffold a minimal local LangChain agent in TypeScript from the official quickstart

Scaffold, run, build and deploy LangGraph apps with the langgraph CLI

Swap LLM routing calls for decision models in LangGraph and audit existing graphs

Write LangGraph code with StateGraph, nodes, edges, Command and streaming

Add interrupts, approval gates and error handling to LangGraph workflows

Persist LangGraph state with checkpointers, thread IDs, time travel and stores

Scaffold a minimal local LangGraph agent in Python from the official quickstart

Scaffold a minimal local LangGraph agent in TypeScript from the official quickstart

Build and deploy a first Managed Deep Agent in LangSmith, step by step

Build AI agent backends in Python with LangGraph, FastAPI and AG-UI streaming