Add Oracle AI Database vector search example using LangChain#31
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yishangupenn wants to merge 7 commits intomainfrom
Open
Add Oracle AI Database vector search example using LangChain#31yishangupenn wants to merge 7 commits intomainfrom
yishangupenn wants to merge 7 commits intomainfrom
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Co-authored-by: Minhajul Hoque <84698472+minh-hoque@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: minh-hoque <minh.hoque@gmail.com>
Co-authored-by: Tom Pakeman <tompakeman@openai.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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Summary
This PR adds a new vector database example demonstrating semantic search using OpenAI embeddings stored and queried directly in Oracle AI Database Vector Search, with integration through LangChain.
The example is notebook-first and follows the existing structure under
examples/vector_databases, making it easy to run, understand, and extend.Motivation
Oracle AI Database provides native vector support that enables efficient semantic similarity search directly inside the database, without relying on external vector stores.
This example helps developers:
The goal is to provide a clear, practical reference for developers exploring vector search and RAG-style patterns with Oracle AI Database.
What's Included
langchain-oracledb