David Myriel
About David Myriel
David Myriel is an author known for his contributions to the field of technology, particularly in vector databases and neural search services.
David Myriel Author Profile
David Myriel is an established author known for his contributions to the field of technology and AI. His work primarily focuses on advancements in vector databases, neural search, and retrieval-augmented generation (RAG). He collaborates with other industry professionals to provide in-depth analyses and practical tutorials, making complex technology topics accessible to a broader audience.
Qdrant 1.8.0 Major Performance Enhancements Article
David Myriel co-authored the article 'Qdrant 1.8.0 - Major Performance Enhancements' with Mike Jang. This article highlights significant improvements in Qdrant 1.8.0, focusing on faster sparse vectors, optimized indexation of text fields, and optional CPU resource management configuration. The piece provides valuable insights into the technical advancements and practical applications of the latest version of Qdrant.
RAG is Dead. Long Live RAG! Article
In his article 'RAG is Dead. Long Live RAG!', David Myriel discusses the continued relevance of vector databases for Retrieval-Augmented Generation (RAG) in the context of evolving Large Language Models (LLMs) and their increasing context windows. The analysis offers a perspective on why RAG remains crucial, even as LLMs advance, and underscores the importance of vector databases in this technology.
Neural Search Tutorial by David Myriel
David Myriel is the author of the 'Neural Search Tutorial,' which serves as a comprehensive guide on building a neural search service. The tutorial walks readers through the entire process, from data preparation to utilizing a vector search engine and deploying the service. Key technologies discussed include BERT, Qdrant, and FastAPI. This article is a valuable resource for anyone interested in neural search technology and practical implementation.