Local GraphRAG with LLaMa 3.1 - LangChain, Ollama & Neo4j Published -- Download video MP4 360p Recommendations 18:01 Local Agentic RAG with LLaMa 3.1 - Use LangGraph to perform private RAG 21:54 Introduction to LangGraph: A Quick Dive into Core Concepts 53:32 LlamaIndex Webinar: Advanced RAG with Knowledge Graphs (with Tomaz from Neo4j) 22:11 AI isn't gonna keep improving 25:34 "I want Llama3.1 to perform 10x with my private knowledge" - Self learning Local Llama3.1 405B 12:09 FastHTML - The fastest way to create an HTML app with Python 42:17 Local RAG with Llama 3.1 for PDFs | Private Chat with Your Documents using LangChain & Streamlit 15:58 Graph RAG: Improving RAG with Knowledge Graphs 44:59 Why are vector databases so FAST? 42:12 18 Months of Building Autonomous AI Agents in 42 Minutes 15:40 GraphRAG: LLM-Derived Knowledge Graphs for RAG 20:04 Fully local RAG agents with Llama 3.1 09:58 This Could Be a MASSIVE AI Business...and Now It's Yours 🤑 16:55 The Future of Knowledge Assistants: Jerry Liu 04:23 Vector Databases simply explained! (Embeddings & Indexes) 55:42 Vector Databases - Master the Core of AI in 1 Hour [Mini-course] Similar videos 06:42 Knowledge Graph Construction Demo from raw text using an LLM 06:36 What is Retrieval-Augmented Generation (RAG)? 18:35 Building Production-Ready RAG Applications: Jerry Liu 16:19 Understanding Embeddings in RAG and How to use them - Llama-Index 16:06 Multi-Vector Retriever for RAG on Tables + Texts Using LANGCHAIN 🦜️🔗 & UNSTRUCTURED More results