RAG with LangChain v0.1 and RAG Evaluation with RAGAS (RAG ASessment) v0.1 Published 2024-02-07 Download video MP4 360p Download video MP4 720p Recommendations 1:01:08 RAG for Complex PDFs with LlamaParse and LlamaIndex v0.10 37:21 Session 7: RAG Evaluation with RAGAS and How to Improve Retrieval 50:42 How to evaluate an LLM-powered RAG application automatically. 1:23:34 Chat and RAG with Tabular Databases Using Knowledge Graph and LLM Agents 1:23:20 Johnny Hooyberghs - Building your own AI Agent using Semantic Kernel 1:03:16 Semantic Chunking for RAG 59:37 High-performance RAG with LlamaIndex 33:43 Build a RAG Evaluation Tool and Python Library 34:31 Lessons Learned on LLM RAG Solutions 59:53 Smart RAG: Domain-Specific Fine-Tuning for End-to-End Retrieval 19:42 AI Agent Evaluation with RAGAS 16:22 AI Leader Reveals The Future of AI AGENTS (LangChain CEO) 58:54 Chat with SQL and Tabular Databases using LLM Agents (DON'T USE RAG!) 59:36 Gemini Multimodal RAG Applications with LangChain 15:32 RAG from the Ground Up with Python and Ollama 1:00:40 Mitigating LLM Hallucinations with a Metrics-First Evaluation Framework 19:40 Adding Agentic Layers to RAG 15:21 Unlimited AI Agents running locally with Ollama & AnythingLLM 23:43 RAG But Better: Rerankers with Cohere AI 14:02 Chunking Strategies in RAG: Optimising Data for Advanced AI Responses