LangChain Tutorial: Data Ingestion & Document Loaders | From Python to GenAI

Описание: Title: LangChain – Data Ingestion and Document Loaders
Series: Python for Generative AI by Punyakeerthi BL

Efficient data ingestion is the foundation of any Retrieval-Augmented Generation (RAG) or Generative AI pipeline.
In this video, you’ll learn how LangChain handles document loading, preprocessing, and data management — the essential first step to building powerful GenAI applications.

You’ll discover:

What data ingestion means in LangChain

How to use document loaders for different file types (PDF, CSV, web pages, etc.)

The workflow for preparing data for embeddings and retrieval

How this step fits into the overall RAG pipeline

This tutorial is perfect for Python developers, AI enthusiasts, and data engineers who want to understand how LangChain bridges raw data with large language models.

🎥 Watch the full playlist:
👉 LangChain Tutorial: From Python to GenAI :    • LangChain Tutorial: From Python to GenAI  

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