Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer
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3 months ago
Published on May 21, 2024
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Table of Contents
Tutorial: Learning RAG From Scratch – Python AI Tutorial
In this tutorial, you will learn how to implement RAG (Retrieval Augmented Generation) from scratch using Python. This course will guide you through combining your custom data with the power of Large Language Models (LLMs) with the help of a LangChain software engineer.
Channel: freeCodeCamp.org
Video Title: Learn RAG From Scratch – Python AI Tutorial from a LangChain Engineer
Video URL: Watch Here
Step-by-Step Guide:
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Overview (0:00:00)
- Start by understanding the basics of RAG and its components.
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Indexing (0:05:53)
- Learn how to index your data to make it searchable for retrieval.
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Retrieval (0:10:40)
- Understand the process of retrieving relevant information from indexed data.
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Generation (0:15:52)
- Explore how to generate responses based on the retrieved information.
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Query Translation Techniques:
- Multi-Query (0:22:14)
- RAG Fusion (0:28:20)
- Decomposition (0:33:57)
- Step Back (0:40:31)
- HyDE (0:47:24)
- Learn different methods to translate queries for effective information retrieval.
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Routing (0:52:07)
- Understand how routing helps in directing queries to the appropriate sources.
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Query Construction (0:59:08)
- Learn how to construct queries for optimal results.
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Advanced Indexing Techniques:
- Multi Representation (1:05:05)
- RAPTOR (1:11:39)
- ColBERT (1:19:19)
- Dive into advanced indexing methods to enhance retrieval efficiency.
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CRAG (1:26:32)
- Explore the concept of CRAG (Customized Retrieval Augmented Generation).
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Adaptive RAG (1:44:09)
- Learn about adapting RAG to different scenarios for better performance.
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The Future of RAG (2:12:02)
- Get insights into the future advancements and possibilities with RAG technology.
Additional Resources:
- Code Repository: GitHub - RAG From Scratch
- Beginner's Guide to LangChain: Read Here
- Course Creator: Lance Martin, PhD. Twitter - @rlancemartin
Start your journey to mastering RAG from scratch with this comprehensive Python AI tutorial. Happy learning! 🚀