https://github.com/oracle-devrel/oci-rag-vectordb

Improve insights to make smarter decisions by tapping into real-time data with retrieval-augmented generation (RAG).
https://github.com/oracle-devrel/oci-rag-vectordb

ai genai-chatbot rag

Last synced: about 6 hours ago
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Improve insights to make smarter decisions by tapping into real-time data with retrieval-augmented generation (RAG).

• Host: GitHub
• URL: https://github.com/oracle-devrel/oci-rag-vectordb
• Owner: oracle-devrel
• License: upl-1.0
• Created: 2024-02-20T16:02:00.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2025-06-19T23:45:47.000Z (about 1 year ago)
• Last Synced: 2026-06-24T11:36:12.630Z (about 17 hours ago)
• Topics: ai, genai-chatbot, rag
• Language: Python
• Homepage:
• Size: 18 MB
• Stars: 34
• Watchers: 5
• Forks: 13
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Security: SECURITY.md

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README

          
# OCI Retrieval-Augmented Generations (RAG) with Generative AI Agents Service

[![License: UPL](https://img.shields.io/badge/license-UPL-green)](https://img.shields.io/badge/license-UPL-green) [![Quality gate](https://sonarcloud.io/api/project_badges/quality_gate?project=oracle-devrel_oci-rag-vectordb)](https://sonarcloud.io/dashboard?id=oracle-devrel_oci-rag-vectordb)

## Introduction

This repository contains a collection of solutions revolving around Retrieval-Augmented Generations (RAG), a type of solution that works with data + Large Language Models.

Select the step-by-step guide closest to what you want to learn / solve:

- [OCI Retrieval-Augmented Generations (RAG) with Generative AI Agents Service](./README_rag.md)

- [Build with GenAI and RAG with Autonomous Database](./README_autonomous.md)

- [OCI RAG: Automation & ORDS](./README_ords.md)

All guides are working with RAG in one way or the other. It's recommended to first take a look at **Build with GenAI and RAG with Autonomous Database** as it also talks about deploying the required infrastructure in OCI, and it's the most complete and customizable solution (as it's using the Oracle Autonomous Database 23AI service rather than OCI Object Storage or OpenSearch as storage mechanisms).

The third solution (**OCI RAG: Automation & ORDS**) assumes you've deployed the infrastructure from the first solution.

## Contributing

This project is open source. Please submit your contributions by forking this repository and submitting a pull request! Oracle appreciates any contributions that are made by the open source community.

## License

Copyright (c) 2024 Oracle and/or its affiliates.

Licensed under the Universal Permissive License (UPL), Version 1.0.

See [LICENSE](LICENSE) for more details.

ORACLE AND ITS AFFILIATES DO NOT PROVIDE ANY WARRANTY WHATSOEVER, EXPRESS OR IMPLIED, FOR ANY SOFTWARE, MATERIAL OR CONTENT OF ANY KIND CONTAINED OR PRODUCED WITHIN THIS REPOSITORY, AND IN PARTICULAR SPECIFICALLY DISCLAIM ANY AND ALL IMPLIED WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A PARTICULAR PURPOSE.  FURTHERMORE, ORACLE AND ITS AFFILIATES DO NOT REPRESENT THAT ANY CUSTOMARY SECURITY REVIEW HAS BEEN PERFORMED WITH RESPECT TO ANY SOFTWARE, MATERIAL OR CONTENT CONTAINED OR PRODUCED WITHIN THIS REPOSITORY. IN ADDITION, AND WITHOUT LIMITING THE FOREGOING, THIRD PARTIES MAY HAVE POSTED SOFTWARE, MATERIAL OR CONTENT TO THIS REPOSITORY WITHOUT ANY REVIEW. USE AT YOUR OWN RISK.