v1.0.2

🌍 Geospatial Search, 💻 Code Search & 🤖 RAG Examples

This documentation release makes it easier to go from the Oracle VecDB Python SDK to runnable examples and notebooks in the companion Oracle AI Developer Hub.

Explore how Oracle VecDB can be used for geospatial + semantic search, semantic code search, RAG document chat, and more.

🌍 Geospatial + Semantic Search

Find what you mean, where you need it.

Ask the Parks combines semantic vector search with city/radius and GeoJSON filtering over National Park Service data.

➡️ Explore Ask the Parks

💻 Semantic Code Search

Search functions, classes, and source code using natural-language intent rather than exact keywords.

➡️ Explore Semantic Code Search

🤖 RAG Document Chat

Build an end-to-end RAG workflow using Oracle VecDB as the retrieval layer, with support for local Ollama models and OpenAI-compatible APIs.

➡️ Explore the Doc Chatbot

📓 Runnable Notebooks

Prefer to learn interactively? The companion notebook collection includes hands-on workflows for embeddings, vector ingestion, similarity search, metadata filtering, HNSW tuning, RAG, and more.

➡️ Explore the VecDB notebooks

Changed

• Refreshed the README to make runnable VecDB applications and notebooks easier to discover.
• Added direct paths from the SDK repository to geospatial search, semantic code search, and RAG examples.
• Improved the getting-started journey from SDK installation to hands-on examples.

Note: v1.0.2 contains documentation changes only. There are no SDK API or runtime changes in this release.

Install

python -m pip install --upgrade oracle-vecdb

v1.0.1

Changed

• Updated the README quickstart to align with the published Python SDK documentation.
• Added clearer installation and configuration guidance.
• Documented integrated embedding workflows.
• Added bring-your-own-vectors (BYOV) examples.
• Added filtered query examples.
• Expanded index creation and query-tuning guidance.
• Updated the SDK sample client with table lifecycle, metadata, listing, filtering, deletion, and cleanup examples.
• Updated the package homepage URL to the current Oracle documentation.

Full Changelog: v1.0.0...v1.0.1

v1.0.0

oracle-vecdb 1.0.0 is now released. This is the initial release and adds support for vector table management, indexing, search, and inference operations in Oracle AI Database 23.26.3+ using ORDS 26.2.2+ API's.