What this sample helps you learn
This folder contains a native Python vector-search sample for Oracle AI Database using `python-oracledb` and the OpenAI embeddings API. The program creates a `sample_vectors` table, builds a vector index, inserts embeddings, and runs a similarity search query with `vector_distance`.
What this sample demonstrates
Vector Search
Store embeddings and search records by semantic similarity.
Use when users search by meaning or AI answers need grounded records.
Highlights
- Python 3.13+
- Poetry
- Docker compatible environment
- OPENAI_API_KEY set in your environment, or available for interactive prompt entry