Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents By KGP Talkie | Laxmi Kant
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Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents · Program
About this program
Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents
Online Course
Learning format
Claude AI
Subcategory
English
Course language
$59.99 (list $10.99)
Price
Price may change · updated within 1–2 weeks
Official program page
What you'll learn in Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents
- Install and integrate LangChain v1 and Ollama to run Qwen3, Gemma3, DeepSeek R1, GPT-OSS, LLAMA, and custom GGUF models locally.
- Build complete chatbots with memory, history, streaming responses, and a Streamlit UI.
- Use prompt templates, LCEL chains, chain routing, parallel chains, custom chains, and runnable pipelines to structure LLM workflows.
- Parse structured output using Pydantic, JSON, CSV parsers, and .with_structured_output() methods.
- Implement advanced retrieval systems including similarity search, MMR search, threshold search, and optimized chunking.
- Use tool calling and function calling with DuckDuckGo, Tavily, Wikipedia, PubMed, and custom tools.
- Build production-ready AI agents using LangChain v1 agent API, dynamic model selection, middleware, state management, and real-time streaming.
- Create Agentic RAG systems including autonomous retrieval, context citation, custom FAISS tools, and streamed agentic responses.
- Build a complete Text-to-SQL Agent for MySQL with schema extraction, SQL generation, validation, execution, and automated error correction.
- Build LinkedIn scraper, resume parser, and data extraction workflows using Selenium, BeautifulSoup, LLM parsing, and Streamlit apps.
- Deploy LangChain v1 + Ollama applications to AWS EC2, configure remote servers, and run production-level AI apps.
What's Included in Master Langchain v1 and Ollama - Chatbot, RAG and AI Agents
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