๐ Description: Want to understand how Retrieval-Augmented Generation (RAG) works in real-world AI systems? In this video, we break down the complete end-to-end RAG pipeline โ from raw data to intelligent answers powered by LLMs. ๐ What youโll learn: Data ingestion from PDFs, docs, and web sources Chunking and embedding strategies Vector database indexing Similarity search & retrieval Prompt augmentation techniques Final answer generation using LLMs Whether you're building AI apps, chatbots, or knowledge systems, this step-by-step guide will help you design scalable and accurate RAG systems. ๐ฅ Hashtags: #RAG #RetrievalAugmentedGeneration #LLM #GenerativeAI #AIEngineering #MachineLearning #VectorDatabase #AIArchitecture #LangChain #AIApps #DataScience #DeepLearning #TechExplained #BuildInPublic #AIProjects
Original Description
๐ Description:
Want to understand how Retrieval-Augmented Generation (RAG) works in real-world AI systems?
In this video, we break down the complete end-to-end RAG pipeline โ from raw data to intelligent answers powered by LLMs.
๐ What youโll learn:
Data ingestion from PDFs, docs, and web sources
Chunking and embedding strategies
Vector database indexing
Similarity search & retrieval
Prompt augmentation techniques
Final answer generation using LLMs
Whether you're building AI apps, chatbots, or knowledge systems, this step-by-step guide will help you design scalable and accurate RAG systems.
๐ฅ Hashtags:
#RAG #RetrievalAugmentedGeneration #LLM #GenerativeAI #AIEngineering #MachineLearning #VectorDatabase #AIArchitecture #LangChain #AIApps #DataScience #DeepLearning #TechExplained #BuildInPublic #AIProjects