RAG Chunking Strategies [Top 11] | Semantic Chunking to LLM Chunking | Learn RAG from Scratch

Welcome to the FreeBirds Crew! ๐Ÿš€ In this second video of our Learn RAG from Scratch Playlist, we dive deep into chunking strategies for Retrieval-Augmented Generation (RAG). Learn: โœ… How chunking impacts LLM performance โœ… The trade-offs between long and short contexts in LLMs โœ… Step-by-step implementation of chunking using Python and LangChain โœ… 11 advanced chunking techniques explained with examples Topics Covered: 1. Understanding context length of LLM and its impact on LLM responses 2. How to calculate tokens in any text 3. Chunking strategies: fixed size, sentence-based, semantic, token-based, and more! Whether you're building advanced LLM applications or optimising your RAG workflows, this video is packed with practical insights and code examples to get you started. ๐Ÿ’ป Code Walkthrough: Python examples to implement chunking for different data types. ๐Ÿ‘‰ Donโ€™t forget to like, subscribe, and hit the bell icon for more AI tutorials and project walkthroughs. ๐Ÿ“‚ Playlist: Learn RAG from Scratch Join this channel to get access to perks: ย ย ย /ย @freebirdscrew2023ย ย  ๐Ÿš€ Follow me on Medium for the latest blogs and projects: https://bit.ly/3JGXqwc ๐Ÿ—‚๏ธ To get the Source Code, Follow me on GitHub: https://bit.ly/3gg07Uc ๐Ÿ”– Book your call with me at topmate.io and learn how to harness the latest technologies power and speed up your learning process. ๐Ÿ“ฒ Book your call at https://bit.ly/43TLDCD Playlists that make you skilled up ๐Ÿ“ Prompt Engineering: https://bit.ly/42v376M ๐Ÿ“ Finacial Data Analysis and Financial Modelling: https://bit.ly/3OCWI5O ๐Ÿ“ Artificial Intelligence Projects: https://bit.ly/3L8lhEi ๐Ÿ“ Predict IPL 2023 Winner: https://bit.ly/3BfC3N9 ๐Ÿ“ Machine Learning: https://bit.ly/3gsuIxb ๐Ÿ“ Face Recognition: https://bit.ly/2YphpHm ๐Ÿ“ Creative Python: https://bit.ly/34nM9wr ๐Ÿ“ Latest Tech Videos: https://bit.ly/2QcaOeW ๐Ÿ“ฑFollow US on social media. Telegram: https://bit.ly/3JJblSC Youtube: https://bit.ly/38gLfTo Instagram: http://bit.ly/2N1IMP9 Twitter: https://bit.ly/40vYMjl โšก๏ธ Do like, comment, share, and subscribe to our YouTube channel for more videos and projects. Krish Naik genai, Krish Naik llm, Krish naik rag, Krish Naik Python tutorial, Krish naik explainable ai, Krish Naik data science, Krish Naik statistics, machine learning full course, machine learning tutorial, machine learning interview questions, machine learning projects in Python, data science for beginners, data science project, data science full course, data science interview questions, data science interview, machine learning interview questions, statistics interview questions, Python interview questions, interview questions, leetcode questions, interview preparation for FAANG, FAANG Interview questions, Google data science Interview questions, Amazon data scientist interview, Meta data scientist interview questions,

GenAI Vector Embeddings Explained: Create, Store, Search | ChromaDB & FAISS | Learn RAG from Scratch
โ–ถ๏ธŽ

GenAI Vector Embeddings Explained: Create, Store, Search | ChromaDB & FAISS | Learn RAG from Scratch

The BEST Way to Chunk Text for RAG
โ–ถ๏ธŽ

The BEST Way to Chunk Text for RAG

Top 3 RAG Retrieval Strategies: Sparse, Dense, & Hybrid Explained
โ–ถ๏ธŽ

Top 3 RAG Retrieval Strategies: Sparse, Dense, & Hybrid Explained

GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem
โ–ถ๏ธŽ

GraphRAG: The Marriage of Knowledge Graphs and RAG: Emil Eifrem

RAG Evaluation Metrics Explained: Context Precision, Recall, Relevancy & Faithfulness
โ–ถ๏ธŽ

RAG Evaluation Metrics Explained: Context Precision, Recall, Relevancy & Faithfulness

Dive into Chunking Strategies for RAG with Zain ๐Ÿ’š
โ–ถ๏ธŽ

Dive into Chunking Strategies for RAG with Zain ๐Ÿ’š

The 5 Levels Of Text Splitting For Retrieval
โ–ถ๏ธŽ

The 5 Levels Of Text Splitting For Retrieval

Is RAG Still Needed? Choosing the Best Approach for LLMs
โ–ถ๏ธŽ

Is RAG Still Needed? Choosing the Best Approach for LLMs

Every RAG Strategy Explained in 13 Minutes (No Fluff)
โ–ถ๏ธŽ

Every RAG Strategy Explained in 13 Minutes (No Fluff)

Vectorless RAG Tutorial With PageIndex-No VectorDB And Chunking Required
โ–ถ๏ธŽ

Vectorless RAG Tutorial With PageIndex-No VectorDB And Chunking Required

Only 5% Engineers Understand Chunking for RAG | AI Interview Series
โ–ถ๏ธŽ

Only 5% Engineers Understand Chunking for RAG | AI Interview Series

Chunking Strategies Explained
โ–ถ๏ธŽ

Chunking Strategies Explained

RAG Chunking: Strategies for Splitting and Structuring Documents
โ–ถ๏ธŽ

RAG Chunking: Strategies for Splitting and Structuring Documents

What is a Vector Database? Powering Semantic Search & AI Applications
โ–ถ๏ธŽ

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

Don't learn AI Agents without Learning these Fundamentals
โ–ถ๏ธŽ

Don't learn AI Agents without Learning these Fundamentals

Extracting Knowledge Graphs From Text With GPT4o
โ–ถ๏ธŽ

Extracting Knowledge Graphs From Text With GPT4o

Why Your RAG Gives Wrong Answers (And 4 Chunking Strategies to Fix It) | LangChain Text Splitters
โ–ถ๏ธŽ

Why Your RAG Gives Wrong Answers (And 4 Chunking Strategies to Fix It) | LangChain Text Splitters

Chunking Strategies in RAG: Optimising Data for Advanced AI Responses
โ–ถ๏ธŽ

Chunking Strategies in RAG: Optimising Data for Advanced AI Responses

Learn RAG From Scratch โ€“ Python AI Tutorial from a LangChain Engineer
โ–ถ๏ธŽ

Learn RAG From Scratch โ€“ Python AI Tutorial from a LangChain Engineer

RAG vs. CAG: Solving Knowledge Gaps in AI Models
โ–ถ๏ธŽ

RAG vs. CAG: Solving Knowledge Gaps in AI Models