Gary Evans
Recent posts
Enhance your RAG pipeline in PostgreSQL by incorporating facets and disciplined prompt design for more precise and relevant document retrieval.
See how to optimize RAG in PostgreSQL for smarter retrieval and context, ensuring more relevant and structured responses from your AI models.
Learn how to enhance your PostgreSQL searches with Retrieval-Augmented Generation (RAG) for precise, context-aware answers using vector embeddings and language models.
Learn how to efficiently embed content into PostgreSQL using Python, focusing on markup chunking and token-aware chunking for optimal semantic search and retrieval.
Efficiently store, query, and manage vector embeddings in PostgreSQL for powerful similarity searches without sacrificing performance or maintainability.
Discover why sentence-level embeddings are crucial in modern vector search systems and how they enhance semantic search, recommendation engines, and retrieval-augmented generation (RAG).
Learn the key differences between similarity and distance in PostgreSQL vector search and how to apply them effectively in your queries.
Discover why a strong database foundation is essential for enterprise AI success, emphasizing structured, clean data over chaotic data swamps for trustworthy, reliable AI outcomes.
Gary Evans and Nishchay Kothari were at PGConf.dev in Montreal talking about learned indexes in PostgreSQL. Here, they share what they discussed.
Experience the AI-driven advancements of Fujitsu Enterprise Postgres 17 SP1, enhancing database security, performance, and RAG compatibility for optimized AI applications.
Join the Fujitsu Enterprise Postgres team at FOSSASIA Summit 2025 in Bangkok to explore PostgreSQL innovations and connect with the vibrant Asia-Pacific open-source community.
Discover PostgreSQL's Access Method interface for indexes, which empowers users to create custom index types for optimized data storage, retrieval, and query performance.
PostgreSQL's B-Tree indexes enhance performance through concurrency improvements, efficient storage, and advanced features like HOT updates, index deduplication, and automatic page deletion.
Leveraging graph databases to perform hybrid and remote work planning will enhance scheduling, route planning, and overall efficiency for global team collaboration.
Learn how to effectively benchmark PostgreSQL using the DBT3 toolkit, simplifying TPC-H benchmarks for complex decision-support queries and large datasets.
