Explore these AI Database vector development notebooks for guided workflows that showcase ingestion, querying, and evaluation patterns.
For Python development with AI Database vector APIs, see the Oracle VecDB Python SDK.
| Title | Stack | Highlights | Path |
|---|---|---|---|
| Finance Accounts Auto | AI Database vector APIs, Python, Pandas | Use hosted embedding models to vectorize financial account metadata automatically and query with filters. | Open |
| Finance Accounts BYOV | AI Database vector APIs, Python, Pandas, SentenceTransformers | Generate embeddings locally, upsert vectors, and run similarity plus metadata-filtered searches. | Open |
| Parks Demo | AI Database vector APIs, Python, Pandas | Inspect vector table stats and execute similarity queries on the National Parks dataset, with cleanup steps. | Open |
| Search Diagnostics | AI Database vector APIs, Python, Pandas | Explore seeded marketing data, compound filters, and vector API debug payloads for semantic search. | Open |
| Embedding Ingest Patterns | AI Database vector APIs, Python, Pandas, SentenceTransformers | Compare auto-embedding tables and bring-your-own embeddings while batching ingest workloads. | Open |
| Maintenance Indexing Playbook | AI Database vector APIs, Python, Pandas | Schedule background indexing jobs, monitor vector table health, and clean up archived partitions. | Open |
| Gemini Vector RAG | AI Database vector APIs, Google Gemini, Python, Pandas | Combine semantic retrieval with Gemini model completions to deliver grounded RAG answers. | Open |
| OCI Embedding Pipeline | AI Database vector APIs, OCI Generative AI, Python, Pandas | Call OCI Generative AI for embeddings, persist vectors, and refresh/query the dataset end to end. | Open |
| HNSW Index Tuning | AI Database vector APIs, Python, SentenceTransformers | Build an explicit HNSW index, monitor vector jobs, and demonstrate how efsearch controls candidate beam width per query. |
Open |
| Index & Model Workbench | AI Database vector APIs, Python, Pandas | Manage index lifecycle, inspect hosted models, and capture annotation governance patterns in one workflow. | Open |
| Bulk Loading & Listings | AI Database vector APIs, Python, Pandas | Demonstrate the three bulk-ingest flows—integrated embeddings, BYO vectors with manual IDs, and BYO vectors with auto IDs—while monitoring load jobs and listing results. | Open |
| Private AI Services Container Integration | AI Database vector APIs, Private AI Services Container, Python | Generate embeddings with a private AI services endpoint, store vectors in a BYOV table, and query Oracle documentation chunks. | Open |
Need full application samples? Visit the Sample Apps catalog.