LangChain Agents Tutorial 2025 | Build AI-Powered Live News Q&A Agent ⚡LangChain 2025 Step-by-Step

Video Description

🚀 Build Real-Time AI Agents with LangChain in 2025! In this session, we dive into LLM Agents and show you how to create a live news Q&A assistant using LangChain, SERP API, and Gemini/OpenAI models. Learn how agents think, decide, and act using external tools for real-time data like news, weather, stocks, and more! 🌟🌟 LLM Notes: https://topmate.io/helloworldbyprince/1627431 📌 Claim Your Free Resource: https://forms.gle/12TYVvz2s8ynBzpU7 What you’ll learn in this video: ✅ Quick recap: Chains vs Agents ✅ What is an LLM Agent & why it needs tools ✅ External tools: Web Search, APIs, Calculator, Database ✅ How to integrate SERP API for Google Search ✅ Setting up LangChain core + community packages ✅ Like 👍 Subscribe 🔔 Share – Master LangChain Agents in 2025! Follow me on: 💼 LinkedIn► https://www.linkedin.com/in/iamprince/ 📷 Instagram► https://www.instagram.com/helloworldbyprince/ 📲 Telegram► https://telegram.me/helloworldbyprince 🐦 Twitter► https://twitter.com/prince_king_ ►Our Playlists on:- 🔥 LLM Bootcamp: https://www.youtube.com/playlist?list=PLzjZaW71kMwS2MrPcY22-oZxHjrpi6yEZ 🔥 Tree: https://youtube.com/playlist?list=PLzjZaW71kMwQ-JABTOTypnpRk1BnD2Nx4 🔥 Stack & Queue: https://youtube.com/playlist?list=PLzjZaW71kMwRTtDWYVPvkJypUpKWbuT7_ 🔥 Hashing: https://youtube.com/playlist?list=PLzjZaW71kMwQ-D3oxCEDHAvYu8VC1XOsS 🔥 Graph: https://youtube.com/playlist?list=PLzjZaW71kMwSrxEtvK5uQnfNQ9UjGGzA- 🔥 Matrix: https://youtube.com/playlist?list=PLzjZaW71kMwRff0CCcrB93srEiQhJoOzg 🔥 Recursion & DP: https://youtube.com/playlist?list=PLzjZaW71kMwSsCT23GFQ-xykAz4uUtYjW 🔥 Heap: https://youtube.com/playlist?list=PLzjZaW71kMwTF8ZcUwm9md_3MvtOfwGow 🔥 Linked List: https://youtube.com/playlist?list=PLzjZaW71kMwQ1DIWTn0d_KDHU4_E52-rq 🔥 STL: https://youtube.com/playlist?list=PLzjZaW71kMwR-oGkXfxfz4dmVe2dkNh0K 🔥 Leetcode: https://youtube.com/playlist?list=PLzjZaW71kMwQRAtBdJAq3u64ZEw-0wxgI 📍 What You’ll Learn in this video: 0:00 — Welcome & Bootcamp Context 0:10 — Why start from Episode 1 (better understanding) 0:27 — Chains vs Agents: Quick recap 0:38 — What is an LLM Agent? Think–Decide–Act 1:03 — When agents need tools (web, APIs, calculator) 1:45 — Real-time gaps in LLMs (time, weather, stocks) 2:23 — External tools overview (Search, Weather, DB, Code) 3:31 — Community adapters/connectors in LangChain 4:35 — Using Gemini/OpenAI via API keys (quick reminder) 5:37 — Building a Live News Q&A Agent (goal of session) 6:03 — Core packages: langchain, langchain-core, community 6:49 — What langchain-core is used for 7:21 — What langchain-community enables (external services) 8:07 — Partner SDKs: OpenAI, Google Gemini, Anthropic 9:05 — Tip: Install core + community to avoid dependency issues 9:28 — Official docs: Python vs JavaScript focus 10:11 — Heads-up: LangGraph is trending for agents 10:30 — API references and tool ecosystem 11:24 — LangChain Chat (chat.langchain.com) for up-to-date help 12:00 — Framework evolves fast: verify breaking changes 12:42 — Example: Run local models with Ollama via LangChain 13:34 — Clarifying tool availability (e.g., calculator) 13:52 — Minimal agent requirements: LLM + optional tools 14:17 — Project concept: AI-powered live news assistant 14:43 — Why agents must use web search for fresh info 15:02 — Pick SERP API for Google Search integration 16:03 — Location-aware search results (India example) 17:14 — Why SERP API over direct Google API (simplicity) 18:07 — What SERP returns: titles, links, snippets (JSON) 19:47 — LLM aggregates top results into summaries 21:00 — Can we use Google Search API directly? Trade-offs 21:18 — Create SERP API account & get API key (free quota) 22:00 — Free tier note: ~100 searches/month 22:12 — NPM packages and why to check npmjs details 24:24 — Common NPM issue: peer dependency conflicts 25:53 — Fix: use —legacy-peer-deps during install 26:05 — Build the Agent: plan recap (LLM + SERP tool) 26:52 — .env setup: GEMINI_API_KEY + SERPAPI_API_KEY 27:10 — Packages to install: langchain, core, community 28:01 — Imports for agents and SERP API tool 29:04 — Initialize SERP tool (with optional location) 29:35 — Initialize agent executor with tools + model 30:12 — Invoke agent: “Latest news about ISRO” 30:56 — Sample output: latest ISRO news (demo) 31:17 — Test another query: “Allen Kota latest” 31:50 — Live news agent works end-to-end 32:02 — Chains vs Agents: the core difference 32:25 — Bonus capabilities: memory, loaders, vector stores 33:21 — When to use LLM wrappers, chains, agents 33:49 — Summary mental model: Agents choose tools 34:12 — Adapters for OpenAI/Gemini/Anthropic (reminder) 34:43 — Troubleshooting via LangChain Chat & AI assistants 35:08 — Support, shares, and next video teaser (API server) 🔔 Subscribe & turn on notifications so you don’t miss the next lessons! #LLMBootcamp #AIinHindi #ChatGPT #ClaudeAI #MistralAI #LLMTutorial #artificialintelligence Comment "#Princebhai" if you read this 😉😉