Overview
Learn how to enhance Large Language Models (LLMs) with Entity Resolution-based Retrieval Augmented Generation (RAG) in this conference talk from Haystack EU 2024. Discover a novel approach to handling private enterprise data through Entity RAG, which combines real-time entity resolution with LLMs to provide accurate, unified information about customers, companies, and products. Explore a practical use case integrated with Langchain that demonstrates how entity resolution technology complements vector databases. Master the implementation of an entity resolution system that delivers swift, precise entity data to LLMs, particularly valuable for structured data scenarios. Presented by Hendrik Nehnes, co-founder and CPO of Tilores, who brings extensive experience in big data infrastructure and cloud technology from his previous roles as Group IT Director at Awin and CTO at Regis24.
Syllabus
Haystack EU 2024 - Hendrik Nehnes: Boosting LLM accuracy with Entity Resolution-based RAG
Taught by
OpenSource Connections