Azure-Language-OpenAI-Conversational-Agent-Accelerator

(★ 132)

A solution accelerator project harnessing the capabilities of Azure AI Language to augment an existing Azure OpenAI RAG chat app. Utilize Conversational Language Understanding (CLU) and Custom Question Answering (CQA) to dynamically improve a RAG chat experience.

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Download Latest Version (.zip)

- devcontainer.json
- - azure-dev.yml
- CODEOWNERS
- ISSUE_TEMPLATE.md
- PULL_REQUEST_TEMPLATE.md
- launch.json
- - architecture.png
  - quick_deploy.png
  - sk_flow_translate.png
  - ui.png
  - user_story.png
- azure_account_set_up.md
- azure_semantic_search_region.md
- check_quota_settings.md
- customizing_azd_parameters.md
- delete_resource_group.md
- - clu_import.json
  - cqa_import.json
  - LICENSE-DATA.txt
  - orchestration_import.json
  - product_info.tar.gz
- - clu.json
  - clu_convai.json
  - cqa.json
  - translation.json
- - ai_foundry.bicep
  - container_instance.bicep
  - managed_identity.bicep
  - role_assignments.bicep
  - search_service.bicep
  - storage_account.bicep
- - run_container_app.sh
- main.bicep
- main.bicepparam
- main.json
- setup_azd_parameters.sh
- - requirements.txt
- - index.html
  - package.json
  - vite.config.js
- Dockerfile
- README.md
.gitignore
azure.yaml
CODE_OF_CONDUCT.md
CONTRIBUTING.md
LICENSE.md
NOTICE.txt
RAI_FAQ.md
README.md
SECURITY.md
SUPPORT.md

# Installation Guide

1. Get the code

git clone https://github.com/Azure-Samples/Azure-Language-OpenAI-Conversational-Agent-Accelerator

Downloads the entire project code from GitHub to your computer.

cd Azure-Language-OpenAI-Conversational-Agent-Accelerator

Moves into the project folder you just downloaded.

2. Docker

Easy Recommended

Prerequisites

Git Needed to download the project code from GitHub.
Docker Desktop Needed to build and run containers. Install it and keep it running in the background.

docker build -f src/Dockerfile -t azure-language-openai-conversational-agent-accelerator .

Builds a runnable image based on the Dockerfile.

docker run -p 8080:80 azure-language-openai-conversational-agent-accelerator

Runs the built image as an actual container.

✅ Run docker compose ps to check the containers are Up. If the README mentions a port, open http://localhost:PORT in your browser.

3. Node.js

Easy

Prerequisites

Git Needed to download the project code from GitHub.
Node.js Node.js must be installed to use npm. The LTS version is recommended.

⚠️ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.

cd src/frontend

This project's files live in a subfolder, so move into it first.

npm install

Downloads and installs the libraries listed in package.json.

npm start

Starts the development/run server.

✅ After running the command, open the address shown in the terminal (usually something like http://localhost:3000) in your browser.

4. Python

Easy

Prerequisites

Git Needed to download the project code from GitHub.
Python 3 On Windows, be sure to check 'Add Python to PATH' during installation.

⚠️ This is a large repository, so this method may point to an internal sub-package rather than the actual core product. Check the full README as well.

pip install -r infra/scripts/language/requirements.txt

Installs the Python libraries listed in requirements.txt (or similar).

python <실행할 파일명>.py # README에서 정확한 실행 파일명을 확인하세요

Runs the Python script (or module).

✅ If it runs without errors and prints output in the terminal, it worked.