Why India’s Biggest Companies Are Betting On #AgenticAI
AGENTS
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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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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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AGI Alpha Agent Launch: Montreal.AI Historical Milestone
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[ AGI ALPHA AGENT ] By : http://
MONTREAL.AI CA : tWKHzXd5PRmxTF5cMfJkm2Ua3TcjwNNoSRUqx6Apump $AGIALPHA is History. #AGI #AGIALPHA -
Designing Interface to Connect AI Models to Actions
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We are designing an interface to connect Ai models to actions!
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AI Agent Automates App Tasks Through Native Integrations
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We're building an AI that's natively connected to all the apps we use! Tell AI what you want done, and it does the heavy lifting through app integrations and orchestrates actions to get things done – so you can focus on more important work. What do you think? Link to demo
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AI Agents and App Integration: Where Did Chat-Based Automation Go?
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What happened to chat + apps, where you can give a complex command and the AI figures out how to get it done with app connections? It seems like most the AI agents tools these days are about reliably setting an autonomous agent off to do some work.