Webinar
Advanced RAG Optimization To Make it Production-ready
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About this webinar
We explore effective strategies for optimizing your RAG setup to make it production-ready. We will cover practical techniques such as data pre-processing, query expansion & reformulation, adaptive chunk sizing, cross-encoder reranking, Colbertv2 rerankers, ensemble retrieval etc. to enhance the accuracy of information retrieval in RAG systems. We will also dive into evaluating RAG performance using relevant tools and metrics, providing you with a comprehensive understanding of how to optimize and assess your RAG pipeline.
Topics covered
- How to enhance the accuracy of information retrieval in RAG systems
- Advanced techniques to optimize your RAG system for production, including query transformation, Colbert rerankers etc.
- Evaluating RAG performance using relevant tools and metrics
Meet the Speaker
Join the session for live Q&A with the speaker
Aravind Parameswaran
Co-Founder at Krux AI
Aravind Parameswaran is a data & product enthusiast, with 15+ years of experience in data, analytics & product. He’s currently co-founder at Krux AI, makers of the open-source tool RAGBuilder (ragbuilder.io). He has worn multiple hats in his career - analyst, technology architect, data engineer, product manager, and was previously leading cross-functional teams at Cult Fit, and at Meta/ Facebook.