Advanced RAG: Chunking, Embeddings, and Vector Databases 🚀 | LLMOps Published 2023-11-07 Download video MP4 360p Recommendations 44:59 Why are vector databases so FAST? 49:24 Retrieval Augmented Generation (RAG) Explained: Embedding, Sentence BERT, Vector Database (HNSW) 53:45 Chunking Best Practices for RAG Applications 38:38 Embeddings: What they are and why they matter 20:34 Practical RAG - Choosing the Right Embedding Model, Chunking Strategy, and More 15:43 Oxford Mathematician DESTROYS Atheism In Less Than 15 Minutes (BRILLIANT!) 18:41 OpenAI Embeddings and Vector Databases Crash Course 15:58 Graph RAG: Improving RAG with Knowledge Graphs 1:03:16 Semantic Chunking for RAG 21:30 Building long context RAG with RAPTOR from scratch 1:16:28 How to Choose a Vector Database 17:30 RAG in 2024: Advancing to Agents 23:43 RAG But Better: Rerankers with Cohere AI 58:08 Vector Database 101: A Crash Course 12:25 Understanding How Vector Databases Work! 09:06 Is Tree-based RAG Struggling? Not with Knowledge Graphs! 20:53 I've been using Redis wrong this whole time... 59:14 High-performance RAG with LlamaIndex 34:22 How to build Multimodal Retrieval-Augmented Generation (RAG) with Gemini 14:02 Chunking Strategies in RAG: Optimising Data for Advanced AI Responses Similar videos 06:36 What is Retrieval-Augmented Generation (RAG)? 18:35 Building Production-Ready RAG Applications: Jerry Liu 03:22 Vector databases are so hot right now. WTF are they? 12:44 LangChain Explained in 13 Minutes | QuickStart Tutorial for Beginners 27:21 End to end RAG LLM App Using Llamaindex and OpenAI- Indexing and Querying Multiple pdf's 53:55 Optimizing RAG With LLMS: Exploring Chunking Techniques and Reranking for Enhanced Results 05:34 How Large language Models Work 51:26 Private RAG with Open Source and Custom LLMs 🚀 | BentoML | OpenLLM 1:01:11 Advanced Retrieval Methods for RAG 53:01 Vector and Keyword Search for Enhanced LLM Performance 🚀 | LLMOps 08:33 What is Prompt Tuning? 00:50 What is LangChain? More results