LangChain 2026 Day 3: Master Semantic Chunking & Hybrid RAG

Welcome to Day 3 of my LangChain 2026 Course!

Reading documents is easy, but understanding them is hard. Today, we fix the biggest problem in RAG: Context Loss. We are replacing standard text splitters with Semantic Chunking and building a Hybrid Retrieval system (Vector + Keyword) for perfect accuracy.

In this episode you’ll learn:
Why standard text splitting breaks your AI
How to implement Semantic Chunking in Python
Building a Hybrid Retriever (BM25 + ChromaDB)
Solving the "Lost in the Middle" problem
Preparing data for the LangGraph brain

📌 GitHub Code: https://github.com/sebuzdugan/langchain-2026

📚 Full Playlist: https://www.youtube.com/playlist?list=PLH2Jo7IpHaBR3uuBh8HUqjAPbwL575XNB

Видео LangChain 2026 Day 3: Master Semantic Chunking & Hybrid RAG канала Sebastian Buzdugan