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

Master RAG & Build 9 Real-World GenAI Projects from Scratch

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19 learners

What you'll learn

Explain the core concepts of RAG and why it mitigates LLM hallucinations.
Implement text chunking and create vector embeddings for a RAG pipeline.
Build a functional RAG system using LangChain, a vector database, and an LLM.
Deploy a RAG application with a user interface for document-based question answering.

This course includes

2.5 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

RAG Retrieval Augmented Generation Vector Embeddings LangChain tutorial Python embeddings Semantic Search Vector Search VectorDB tutorial ChromaDB similarity search LLM projects machine learning

Full Transcript

Welcome to the FreeBirds Crew! 🚀 In this third video of our Learn RAG from Scratch Playlist, learn how to create and store vector embeddings in a vector database like ChromaDB and FAISS. I will demonstrate how to implement them using Python and LangChain. Discover: 1. What are Vector Embeddings and their types (Text, Image, Audio). 2. How to create embeddings and store them in VectorDBs. 3. Differences between Vector Search and Semantic Search with real coding examples with python, langchain and hugging face library. By the end of this tutorial, you'll understand key concepts like similarity search, semantic search, and how to build small projects using LangChain on various data types. Perfect for beginners and experts working on RAG (Retrieval Augmented Generation) and LLM projects. 👉 Don’t forget to like, subscribe, and hit the bell icon for more AI tutorials and project walkthroughs. 📂 Playlist: Learn RAG from Scratch Join this channel to get access to perks: https://www.youtube.com/channel/UC4RZP6hNT5gMlWCm0NDzUWg/join 🚀 Follow me on Medium for the latest blogs and projects: https://bit.ly/3JGXqwc 🗂️ To get the Source Code, Follow me on GitHub: https://bit.ly/3gg07Uc 🔖 Book your call with me at topmate.io and learn how to harness the latest technologies power and speed up your learning process. 📲 Book your call at https://bit.ly/43TLDCD Playlists that make you skilled up 📍 Prompt Engineering: https://bit.ly/42v376M 📍 Finacial Data Analysis and Financial Modelling: https://bit.ly/3OCWI5O 📍 Artificial Intelligence Projects: https://bit.ly/3L8lhEi 📍 Predict IPL 2023 Winner: https://bit.ly/3BfC3N9 📍 Machine Learning: https://bit.ly/3gsuIxb 📍 Face Recognition: https://bit.ly/2YphpHm 📍 Creative Python: https://bit.ly/34nM9wr 📍 Latest Tech Videos: https://bit.ly/2QcaOeW 📱Follow US on social media. Telegram: https://bit.ly/3JJblSC Youtube: https://bit.ly/38gLfTo Instagram: http://bit.ly/2N1IMP9 - Twitter: https://bit.ly/40vYMjl ⚡️ 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 vector databases, 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,