{"repo":"sourangshupal/simple-rag-langchain","free":true,"listed":false,"github":"https://github.com/sourangshupal/simple-rag-langchain","clone":"git clone https://github.com/sourangshupal/simple-rag-langchain.git","description":"Exploring the Basics of Langchain","language":"Jupyter Notebook","stars":22,"topics":["langchain","rag","vector-database"],"license":null,"category":"ai-agents","readme_excerpt":"📚 LangChain Notebooks - Complete RAG Course A comprehensive, hands-on course for learning Retrieval-Augmented Generation (RAG) with LangChain 1.0.5+ - November 2025. Perfect for mixed-level classes with beginners and intermediate students! 🎯 What You'll Learn This course teaches you how to build production-ready RAG applications from scratch: 1. ✅ LangChain Fundamentals - Architecture, LCEL, core concepts 2. ✅ Document Loading - PDF, CSV, JSON, HTML, and more 3. ✅ Text Splitting - Optimal chunking strategies 4. ✅ Embeddings - OpenAI, Google Gemini, comparisons 5. ✅ Vector Stores - FAISS, Chroma, InMemory 6. ✅ Retrieval Strategies - Similarity, MMR, custom retrievers 7. ✅ Complete RAG Pipeline - Production-ready implementation --- 📖 Course Structure 7 Progressive Notebooks Notebook Topic Level Duration ---------- ------- ------- ---------- 01 Introduction and Fundamentals.ipynb LangChain basics, LCEL, first LLM call 🔰 Beginner 45 min 02 Document Loaders.ipynb Load PDF, CSV, JSON, HTML, batch loading 🔰 Beginner 60 min 03 Text Splitting Strategies.ipynb Recursive, HTML, JSON, token splitters 🔰→🎓 45 min 04 Embeddings and Vector Representations.ipynb OpenAI, Gemini embeddings, similarity 🔰→🎓 45 min 05 Vector Stores.ipynb InMemory, FAISS, Chroma comparison 🎓 Intermediate 60 min 06 Retrieval Strategies.ipynb Similarity, MMR, custom retrievers 🎓 Intermediate 45 min 07 Complete RAG Pipeline.ipynb End-to-end RAG, best practices 🎓 Intermediate 90 min Total Course Time: 6 hou","default_branch":null,"files":null,"tree":[],"storefront":"/r/sourangshupal","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/sourangshupal/simple-rag-langchain/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}