This playlist is your hands-on guide to building intelligent, conversational, and reasoning AI applications with ease. We'll break down complex concepts into simple, bite-sized lessons, covering everything from LLM chaining, memory, retrieval-augmented generation (RAG), and agents to real-world chatbots, document Q&A, and more. You'll discover: ✅ How LangChain works for chaining LLM calls ✅ Building AI-powered chatbots & apps ✅ Retrieval-Augmented Generation (RAG) for smarter AI ✅ Integrating external data & APIs for real-world use cases Playlist Resources: https://learnwith.campusx.in/products#nav_bar Reach us at [support@campusx.in]
Curated by: CampusX (21 videos)
Code - https://github.com/campusx-official/langchain-document-loaders/ Relevant Docs: https://python.langchain.com/docs/concepts/document_loaders/ My Notes: https://learnwith.campusx.in/products#nav_bar ============================ Did you like my teaching style? Check my affordable mentorship program at : https://learnwith.campusx.in DSMP FAQ: https://docs.google.com/document/d/1OsMe9jGHoZS67FH8TdIzcUaDWuu5RAbCbBKk2cNq6Dk/edit#heading=h.gvv0r2jo3vjw ============================ 📱 Grow with us: CampusX' LinkedIn: https://www.linkedin.com/company/campusx-official Slide into our DMs: https://www.instagram.com/campusx.official My LinkedIn: https://www.linkedin.com/in/nitish-singh-03412789 Discord: https://discord.gg/PsWu8R87Z8 E-mail us at support@campusx.in ⌚Time Stamps⌚ 00:00 - Intro 00:59 - AI auto dubbing feature 02:22 - Recap 03:50 - What is RAG? 08:30 - RAG components 10:56 - Document Loaders in LangChain 13:15 - Text Loader 22:02 - PyPDFLoader 26:50 - Limitations 29:43 - Directory Loader 37:22 - Load vs Lazy Load 42:19 - WebBaseLoader 49:37 - CSVLoader 52:33 - Other Document Loaders 54:35 - Custom Document Loader