This sample shows how several `langchain-oracledb` components work together in one small support-runbook workflow on Oracle AI Database.
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.
AI Agents
Runnable AI Agents behavior on Oracle AI Database.
Use when AI Agents needs to be tested against real database behavior.
Testcontainers
Disposable Oracle AI Database Free containers for repeatable local and integration tests.
Use when tests need real database behavior without sharing a long-lived development instance.
Highlights
- Python 3.13+
- Poetry
- Docker compatible environment
- Network access on first run so sentence-transformers can download sentence-transformers/all-MiniLM-L6-v2, unless the model is already cached