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
TOOLS
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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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Nowplai: AI App Finds Songs Across All Music Platforms
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Mind-Blowing Replit Apps: Nowplai I think this is an app we've all wanted. Nowplai finds song links on every major music platform. Now you can share your eclectic music taste with your eclectic friends who don't use Spotify.
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AI & Machine Learning Model for House Price Prediction
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3. AI & Machine Learning Model Development
— God of Prompt (@godofprompt) 23 février 2025
Prompt:
"Develop a machine learning model in Python that predicts house prices based on location, square footage, and amenities. Use Pandas, Scikit-Learn, and Matplotlib to train, test, and visualize the results." pic.twitter.com/bvtSalnioP3. AI & Machine Learning Model Development Prompt: "Develop a machine learning model in Python that predicts house prices based on location, square footage, and amenities. Use Pandas, Scikit-Learn, and Matplotlib to train, test, and visualize the results."
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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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AI-Powered Communication: The Key to Productivity Breakthrough
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1️⃣ The AI Productivity Shift 🚀 Productivity is at a breaking point! AI-powered communication is the key to reclaiming time and driving real business outcomes. Are you ready to embrace the shift? #AI #FutureOfWork #Productivity 🔗 enterprisestrategies.com
→ View original post on X — @andyjankowski, 2025-02-22 19:39 UTC
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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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Automating ChatGPT with DeepSeek and Grok3 to create apps – Tutorial
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I automated #ChatGPT with #DeepSeek and #Grok3 to create Apps… The result is I show you all that in my complete tutorial here → https://
youtu.be/PXTCChEtozo