Advanced Retrieval Methods for RAG with #langchain

In this event, we will break down the retrieval algorithms that AI Engineering practitioners should know and have at hand within their toolbox. Algorithms known to provide greater precision and results at the retrieval step of RAG include the Parent Document Retriever, Self Query Retriever, Contextual Compression, and Time-Weighted Vector Store. Join us every Wednesday at 1pm EST for our live events. SUBSCRIBE NOW to get notified! Speakers: ​Dr. Greg, Co-Founder & CEO AI Makerspace https://www.linkedin.com/in/gregloughane The Wiz, Co-Founder & CTO AI Makerspace https://www.linkedin.com/in/csalexiuk/ Apply for The AI Engineering Bootcamp on Maven today! https://bit.ly/AIEbootcamp LLM Foundations - Email-based course https://aimakerspace.io/llm-foundations/ For team leaders, check out! https://aimakerspace.io/gen-ai-upskilling-for-teams/ Join our community to start building, shipping, and sharing with us today! https://discord.gg/RzhvYvAwzA How'd we do? Share your feedback and suggestions for future events. https://forms.gle/z96cKbg3epXXqwtG6 #retrievalaugmentedgeneration #ragas 00:00:00 Introduction to Advanced Retrieval in RAG Systems 00:03:41 John Wick 4 Postponement: Using Data to Answer COVID-related Delays 00:08:05 Advanced Dense Vector Retrieval Methods 00:12:00 Efficient Text Chunking Techniques 00:16:21 Mastering Context Optimization in LLM Applications 00:20:44 Optimizing Naive Retrieval with Vector Store Techniques 00:25:00 Leveraging Metadata for Better Retrieval 00:29:12 Using Lang Chain and OpenAI for Data Retrieval 00:32:47 Managing Movie Rating Data in Python 00:36:08 Understanding the Naive RAG Chain 00:39:20 Document Chunking and Memory Storage Techniques 00:42:31 Introduction to Parent Document Retriever and Self Query 00:45:57 Implementing Semantic Similarity Scoring 00:49:29 Understanding Compressor and Reranking in NLP 00:53:23 Chunking Strategies for Tables 00:57:12 Effective Contextual Compression for Long Documents