Semantic Chunking - 3 Methods for Better RAG

Semantic chunking allows us to build more context-aware chunks of information. We can use this for RAG, splitting video and audio, and much more. In this video, we will use a simple RAG-focused example. We will learn about three different types of chunkers: StatisticalChunker, ConsecutiveChunker, and CumulativeChunker. At the end, we also discuss semantic chunking for video, such as for the new gpt-4o and other multi-modal use cases. 📌 Code: https://github.com/aurelio-labs/seman... ⭐️ Article: https://www.aurelio.ai/learn/semantic... 🌟 Build Better Agents + RAG: https://platform.aurelio.ai (use "JBMARCH2025" coupon code for $20 free credits) 👾 Discord:   / discord   Twitter:   / jamescalam   LinkedIn:   / jamescalam   #ai #artificialintelligence #chatbot #nlp 00:00 3 Types of Semantic Chunking 00:42 Python Prerequisites 02:44 Statistical Semantic Chunking 04:38 Consecutive Semantic Chunking 06:45 Cumulative Semantic Chunking 08:58 Multi-modal Chunking

Join Today
LangGraph Deep Dive: Build Better Agents
▶︎

LangGraph Deep Dive: Build Better Agents

Is RAG Still Needed? Choosing the Best Approach for LLMs
▶︎

Is RAG Still Needed? Choosing the Best Approach for LLMs

The 5 Levels Of Text Splitting For Retrieval
▶︎

The 5 Levels Of Text Splitting For Retrieval

Semantic Chunking for RAG
▶︎

Semantic Chunking for RAG

Chunking Strategies in RAG: Optimising Data for Advanced AI Responses
▶︎

Chunking Strategies in RAG: Optimising Data for Advanced AI Responses

Using Large Language Models | Build Your Own LLM Workshop #1
▶︎

Using Large Language Models | Build Your Own LLM Workshop #1

Stop Prompting Claude. Use Karpathy's Method Instead.
▶︎

Stop Prompting Claude. Use Karpathy's Method Instead.

Do Reranking Models Actually Improve RAG?
▶︎

Do Reranking Models Actually Improve RAG?

What is a Vector Database? Powering Semantic Search & AI Applications
▶︎

What is a Vector Database? Powering Semantic Search & AI Applications

Every RAG Strategy Explained in 13 Minutes (No Fluff)
▶︎

Every RAG Strategy Explained in 13 Minutes (No Fluff)

Why Google Just Gave Away Gemma 4 for Free
▶︎

Why Google Just Gave Away Gemma 4 for Free

How RAG, GraphRAG, and Context Engineering Improve AI Performance
▶︎

How RAG, GraphRAG, and Context Engineering Improve AI Performance

Yann LeCun's $1B Bet Against LLMs [Part 1]
▶︎

Yann LeCun's $1B Bet Against LLMs [Part 1]

RAG Crash Course for Beginners
▶︎

RAG Crash Course for Beginners

How AI agents & Claude skills work (Clearly Explained)
▶︎

How AI agents & Claude skills work (Clearly Explained)

The BEST Way to Chunk Text for RAG
▶︎

The BEST Way to Chunk Text for RAG

Don't learn AI Agents without Learning these Fundamentals
▶︎

Don't learn AI Agents without Learning these Fundamentals

Whats the best Chunk Size for LLM Embeddings
▶︎

Whats the best Chunk Size for LLM Embeddings

Chunking Strategies Explained
▶︎

Chunking Strategies Explained

Semantic Chunking for RAG with #langchain
▶︎

Semantic Chunking for RAG with #langchain