Pattern Samples6 runnable examples

Semantic Search / RAG Pattern

Combine embeddings, text filters, and SQL access paths for retrieval-augmented application features.

When to use this pattern

Use this when users search by meaning, when an AI answer needs grounded records, or when vector and keyword relevance both matter.

What these samples show

Combine embeddings, text filters, and SQL access paths for retrieval-augmented application features.

Feature coverage
Vector Search, JSON
Implementation topics
AI, Vector Search, Oracle Text
Sample breadth
6 runnable examples, including JDBC Hybrid Search, Similarity Search using Oracle AI Database 26ai, LangChain Vector Search Sample, and 3 more.