Uploaded May 2026 | Updated September 2026, 2 weeks ago
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
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Build a LangChain AI agent using 100% FREE APIs — no GPU needed, no paid subscriptions. Combines OpenRouter's free LLMs with Ollama's free web search for real-time data retrieval in under 20 minutes.
In this step-by-step tutorial, you'll build a fully functional LangChain AI agent from scratch using only free tools: OpenRouter free LLM models (Poolside Laguna M.1), Ollama web search API, and Python. No GPU required, no cloud bills — just copy, paste, and run.
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⏱️ TIMESTAMPS
━━━━━━━━━━━━━━━━━━━━━━━
0:00 Introduction & What We're Building
0:28 Agentic Architecture Overview (LLM + Tools + Memory)
1:07 Installing LangChain & Ollama Web Search
1:46 Ollama Free Web Search API Explained
2:10 Creating Your Free Ollama API Key
2:50 Setting Up the .env File for API Keys
3:27 Creating a Free OpenRouter Account
4:00 Choosing a Free LLM on OpenRouter (Laguna M.1)
5:00 Installing LangChain-OpenRouter Connector
5:57 Loading Environment Variables in Jupyter Notebook
6:52 Initializing the OpenRouter LLM in LangChain
7:47 Testing the LLM with a Simple Query
8:29 Agent Architecture Deep Dive
9:02 Testing Ollama Web Search Tool Standalone
11:15 Wrapping Web Search as a LangChain Tool
12:43 Building the LangChain Agent (create_react_agent)
13:27 Adding System Prompt & Configuring Agent Parameters
15:00 Invoking the Agent with HumanMessage
15:56 Agent Tool-Calling Loop Explained
17:25 Reading the Final Agent Response
18:48 Results & Recap
━━━━━━━━━━━━━━━━━━━━━━━
🔗 RESOURCES
━━━━━━━━━━━━━━━━━━━━━━━
• LangChain Docs: python.langchain.com
• OpenRouter (Free LLM API): openrouter.ai
• Ollama Web Search API: ollama.com
• Poolside Laguna M.1 Free Model on OpenRouter
• pip install langchain langchain-openrouter ollama python-dotenv
━━━━━━━━━━━━━━━━━━━━━━━
📌 WHAT YOU'LL LEARN
━━━━━━━━━━━━━━━━━━━━━━━
✅ How to use LangChain with a completely free LLM via OpenRouter (no credit card required)
✅ How to integrate Ollama's free web search as a real-time tool for your AI agent
✅ How to wrap any Python function as a LangChain tool using the @tool decorator
✅ How to build a ReAct-style AI agent that decides when to call tools autonomously
✅ How to read and parse multi-step agent responses including tool call history
━━━━━━━━━━━━━━━━━━━━━━━
🏷️ TAGS
━━━━━━━━━━━━━━━━━━━━━━━
#LangChain #AIAgent #FreeAI #OpenRouter #OllamaWebSearch #LangChainAgent #PythonAI #FreeAPIKey #LLM #WebSearchAgent #GenerativeAI #AITutorial #LangChainTutorial #AgenticAI #NoGPU
🚀 The LangChain 10 Days FREE Bootcamp is live: 10 lessons, free AI models only, from your first API call to a production grade RAG agent. Start with Day 0 for the roadmap and setup.
📺 Full playlist: youtube.com/watch?v=KJ3_NExk7-Q&list=PLW4pPr9JCovI&index=1
----------
Build a LangChain AI agent using 100% FREE APIs — no GPU needed, no paid subscriptions. Combines OpenRouter's free LLMs with Ollama's free web search for real-time data retrieval in under 20 minutes.
In this step-by-step tutorial, you'll build a fully functional LangChain AI agent from scratch using only free tools: OpenRouter free LLM models (Poolside Laguna M.1), Ollama web search API, and Python. No GPU required, no cloud bills — just copy, paste, and run.
━━━━━━━━━━━━━━━━━━━━━━━
⏱️ TIMESTAMPS
━━━━━━━━━━━━━━━━━━━━━━━
0:00 Introduction & What We're Building
0:28 Agentic Architecture Overview (LLM + Tools + Memory)
1:07 Installing LangChain & Ollama Web Search
1:46 Ollama Free Web Search API Explained
2:10 Creating Your Free Ollama API Key
2:50 Setting Up the .env File for API Keys
3:27 Creating a Free OpenRouter Account
4:00 Choosing a Free LLM on OpenRouter (Laguna M.1)
5:00 Installing LangChain-OpenRouter Connector
5:57 Loading Environment Variables in Jupyter Notebook
6:52 Initializing the OpenRouter LLM in LangChain
7:47 Testing the LLM with a Simple Query
8:29 Agent Architecture Deep Dive
9:02 Testing Ollama Web Search Tool Standalone
11:15 Wrapping Web Search as a LangChain Tool
12:43 Building the LangChain Agent (create_react_agent)
13:27 Adding System Prompt & Configuring Agent Parameters
15:00 Invoking the Agent with HumanMessage
15:56 Agent Tool-Calling Loop Explained
17:25 Reading the Final Agent Response
18:48 Results & Recap
━━━━━━━━━━━━━━━━━━━━━━━
🔗 RESOURCES
━━━━━━━━━━━━━━━━━━━━━━━
• LangChain Docs: python.langchain.com
• OpenRouter (Free LLM API): openrouter.ai
• Ollama Web Search API: ollama.com
• Poolside Laguna M.1 Free Model on OpenRouter
• pip install langchain langchain-openrouter ollama python-dotenv
━━━━━━━━━━━━━━━━━━━━━━━
📌 WHAT YOU'LL LEARN
━━━━━━━━━━━━━━━━━━━━━━━
✅ How to use LangChain with a completely free LLM via OpenRouter (no credit card required)
✅ How to integrate Ollama's free web search as a real-time tool for your AI agent
✅ How to wrap any Python function as a LangChain tool using the @tool decorator
✅ How to build a ReAct-style AI agent that decides when to call tools autonomously
✅ How to read and parse multi-step agent responses including tool call history
━━━━━━━━━━━━━━━━━━━━━━━
🏷️ TAGS
━━━━━━━━━━━━━━━━━━━━━━━
#LangChain #AIAgent #FreeAI #OpenRouter #OllamaWebSearch #LangChainAgent #PythonAI #FreeAPIKey #LLM #WebSearchAgent #GenerativeAI #AITutorial #LangChainTutorial #AgenticAI #NoGPU
