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@anumathad-o anumathad-o released this 19 Aug 19:59
v1.0.2
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Learn about vigilant mode.

馃實 Geospatial Search, 馃捇 Code Search & 馃 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.

馃實 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.

鉃★笍 Explore Ask the Parks

馃捇 Semantic Code Search

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

鉃★笍 Explore Semantic Code Search

馃 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.

鉃★笍 Explore the Doc Chatbot

馃摀 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.

鉃★笍 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
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