IntelliJ AI Assistant Plugin Learn to build a coding assistant that integrates Deepseek AI into IntelliJ IDEA using LangChain. The plugin generates code and explains it in real-time, featuring Java Plugin DevKit and native IDE integration. Watch the tutorial now
@langchain
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Complete RAG Guide: LangChain Implementations and Advanced Retrieval
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bRAG: Complete RAG Guide A comprehensive project showcasing RAG implementations with LangChain – from basics to advanced features like multi-query retrieval, ColBERT indexing, and RAG-Fusion. Check out this 1.7K+ starred guide https://
github.com/bRAGAI/bRAG-la
ngchain/
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LangChain Korean Tutorial: RAG, Agents and Core Technologies
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LangChain Korean Tutorial A comprehensive guide combining documentation, videos, and hands-on examples for mastering LangChain in Korean. Features practical implementations of RAG, agents, and core LangChain technologies. Check it out here https://
github.com/teddylee777/la
ngchain-kr
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Build AI Agents Fast with CopilotKit LangGraph
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Build AI Agents Fast Create powerful AI agents with CopilotKit's CoAgents & LangGraph in just 30 minutes. Includes full stack implementation and LangSmith monitoring capabilities. Start building your agent now! https://
dev.to/copilotkit/age
nts-101-how-to-build-your-first-ai-agent-in-30-minutes-1042
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RAG Tutorial: Enhancing LLMs with Retrieval-Augmented Generation
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RAG Tutorial Dive into Retrieval-Augmented Generation with this tutorial using Hugging Face and OpenAI. Build powerful RAG systems with LangChain's vector stores to enhance LLM capabilities and reduce hallucinations. Watch the tutorial: https://
youtube.com/watch?v=i0wcc8
qjfJw
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Building Local Agentic RAG Systems with LangChain Qdrant
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Local Agentic RAG Tutorial Learn to build a privacy-focused RAG system that runs 100% locally using LangChain, Qdrant, and Ollama. This tutorial shows you how to implement agentic RAG with local embeddings and multiple data source support. Watch the full tutorial:
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MCP Adapters: LangChain-Compatible Tool Wrapper
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MCP Adapters A lightweight wrapper that converts Model Context Protocol tools into LangChain-compatible tools, with multi-server support and React agent compatibility. Seamlessly integrates with LangChain Core and LangGraph. Check it out https://
github.com/langchain-ai/l
angchain-mcp-adapters
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InboxHero AI: Gmail Assistant Powered by LangChain Groq
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InboxHero AI Take control of Gmail with this AI assistant. Powered by LangChain + Groq, it handles email prioritization, smart replies, and document processing through an intuitive chat interface. Try it now: https://
github.com/zamalali/Inbox
Hero
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LangGraph Cloud Streaming React Implementation Walkthrough
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walkthrough: https://
youtu.be/h8rML95qWX8 Docs: https://
langchain-ai.github.io/langgraph/clou
d/how-tos/use_stream_react/
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useStream Hook Integrates LangGraph into React Applications
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useStream(agent) Integrate LangGraph into your React application with a single hook. Thread and state management, messages streaming and branching built-in.