Conquer RAG Retrieval Errors: 5-Step Tuning Process in Snorkel Flow
Offered By: Snorkel AI via YouTube
Course Description
Overview
Learn how to optimize retrieval accuracy in RAG systems with this 15-minute video tutorial from Snorkel AI. Follow product lead Marty Moesta's step-by-step approach using Snorkel Flow to boost performance and ensure accurate responses. Discover the main causes of retrieval errors, implement a systematic tuning process, identify and address specific error areas, improve document chunking and embedding models, and leverage collaboration between subject matter experts and data scientists. Gain practical techniques to enhance your RAG system's effectiveness and consistently retrieve the right context for your LLM.
Syllabus
Conquer RAG Retrieval Errors: 5-Step Tuning Process in Snorkel Flow
Taught by
Snorkel AI
Related Courses
Pinecone Vercel Starter Template and RAG - Live Code Review Part 2Pinecone via YouTube Will LLMs Kill Search? The Future of Information Retrieval
Aleksa Gordić - The AI Epiphany via YouTube RAG But Better: Rerankers with Cohere AI - Improving Retrieval Pipelines
James Briggs via YouTube Advanced RAG - Contextual Compressors and Filters - Lecture 4
Sam Witteveen via YouTube LangChain Multi-Query Retriever for RAG - Advanced Technique for Broader Vector Space Search
James Briggs via YouTube