Recent posts tagged oracle-database-23ai

Derrick Ryan • Mar 16 • in Articles • 10 min read
Oracle Database 23ai's AI Vector Search provides multiple strategies for finding similar vectors, each with different trade-offs between accuracy, speed, and resource usage. Understanding when to use exact search, approximate search, or multi-vector ...
post-cover-12918
  • vector-search
  • oracle-database-23ai
Derrick Ryan • Mar 9 • in Articles • 9 min read
Oracle Database 23ai introduces native vector capabilities that enable semantic search directly within SQL. Understanding how to create vectors, calculate distances, and choose appropriate metrics is fundamental to building effective AI-powered appli...
  • oracle-database-23ai
  • vector-search
Derrick Ryan • Feb 26 • in Articles • 8 min read
Oracle Database 23ai introduces the VECTOR data type, enabling you to store AI embeddings alongside traditional business data. Understanding how to perform Data Manipulation Language DML and Data Definition Language DDL operations on vector columns i...
post-cover-12202
  • oracle-database-23ai
  • oracle-database
  • vector-search
Derrick Ryan • Feb 16 • in Articles • 7 min read
Oracle Database 23ai's AI Vector Search enables powerful semantic search capabilities, but to truly harness its potential, you need to understand how to query vector data efficiently and when to use vector indexes. This guide explores querying vector...
  • oracle-database-23ai
  • vector-search
  • hnsw-ivf
  • query-optimization
Derrick Ryan • Feb 6 • in Articles • 6 min read
Oracle AI Vector Search Workflow: From Data to Semantic Search Oracle Database 23ai introduces AI Vector Search, enabling semantic search capabilities directly within the database. Unlike traditional keyword-based searches, vector search understand...
post-cover-11167
  • oracle-database-23ai
  • vector-search
  • semantic-search
Derrick Ryan • Feb 2 • in Articles • 5 min read
Semantic search represents a fundamental shift in how we retrieve information from databases and search engines. Unlike traditional keyword-based search that relies on exact text matches, semantic search understands the meaning and context behind que...
  • vector-search
  • embedding-models
  • oracle-database-23ai
Derrick Ryan • Jan 26 • in Articles • 6 min read
Oracle Database 23ai formerly 23c represents a significant leap forward in integrating artificial intelligence capabilities directly into the database. One of its most groundbreaking features is AI Vector Search, which enables the database to underst...
post-cover-10510
  • oracle-database-23ai
  • machine-learning
  • vector-search
Derrick Ryan • Jan 21 • in Articles • 11 min read
Retrieval-Augmented Generation RAG has become the default approach for providing context and memory to AI applications. Understanding the RAG pipeline—from document ingestion to final response generation—is essential for building high-performance AI ...
post-cover-10137
  • rag
  • vector-search
  • oracle-database-23ai
  • embedding-models
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