L14 | Document Loaders in LangChain | Generative AI with LangChain

Master LangChain framework in this Generative AI series.

In this video you'll learn:

How to use Document Loaders in LangChain to ingest data from various sources
TextLoader to load .txt files
Example using PyPDFLoader to load PDFs
Example using CSVLoader to load CSV files
Using WebBaseLoader to load data from URLs
Using DirectoryLoader to load files from a directory
In this complete Generative AI with LangChain master class:

Learn the foundation- Models, PromptTemplates, Messages, LangChain Expression Language (LCEL), Structured Output, Output Parsers with code examples

Building blocks for RAG- Document Loaders, Text splitters, Embeddings, Vector Stores, Retrievers.

Building RAG Pipeline

Read more here: https://www.netjstech.com/2026/04/document-loaders-langchain-examples.html

Github Link- https://github.com/netjs/langchainproj/tree/main/L5-DocumentLoaders

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Видео L14 | Document Loaders in LangChain | Generative AI with LangChain канала netjstech