Practical Advice for Retrieval Augmented Generation (RAG), by Sam Partee at QCon San Francisco

At the recent QCon San Francisco conference, Sam Partee, Principal Engineer at Redis, gave a talk about Retrieval Augmented Generation (RAG). He discussed Generative Search, which combines large language models (LLMs) with vector databases to improve information retrieval. Partee discussed several innovative tricks such as Hypothetical Document Embeddings (HyDE), and semantic caching. 

advice ai conference databases engineer generative generative search information language language models large language large language models llms ml & data engineering practical qcon qcon san francisco 2023 rag redis retrieval retrieval augmented generation sam san francisco search search engine talk tricks vector vector databases