Add Knowledge Assistant chatbot project (#448)

<img width="1488" alt="Screenshot 2025-05-28 at 10 48 32 AM"
src="https://github.com/user-attachments/assets/e037a8ed-02a5-4e68-8259-77c784e8bf2c"
/>


re-doing a [previous PR
](#446 signed commits

Author: taiga-db

CODEOWNERS

@@ -11,6 +11,7 @@ database-diagram-builder   @alexott
 downstreams                @nfx @alexott
 go-libs                    @nfx @alexott
 ip_access_list_analyzer    @alexott
+ka-chat-bot                @taiga-db
 metascan                   @nfx @alexott
 runtime-packages           @nfx @alexott
 sql_migration_copilot      @robertwhiffin

ka-chat-bot/.gitignore

@@ -0,0 +1,25 @@
+.env
+# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.
+
+# dependencies
+frontend/node_modules
+frontend/.pnp
+frontend/.pnp.js
+
+# testing
+frontend/coverage
+# misc
+frontend/.DS_Store
+frontend/.env.local
+frontend/.env.development.local
+frontend/.env.test.local
+frontend/.env.production.local
+
+frontend/npm-debug.log*
+frontend/yarn-debug.log*
+frontend/yarn-error.log*
+.DS_Store
+
+__pycache__
+utils/__pycache__
+chat_history.db

ka-chat-bot/README.md

@@ -0,0 +1,74 @@
+---
+title: "Knowledge Assistant Chatbot"
+language: python
+author: "Taiga Matsumoto"
+date: 2025-05-26
+---
+
+# Databricks Chatbot Application
+
+Chat applications powered by Databricks' model serving endpoints. This project provides a foundation for creating interactive chat interfaces that leverage Databricks' powerful AI framework and model serving infrastructure.
+
+## Features
+
+- 🚀 Real-time chat interface
+- 💾 Chat history persistence
+- 🔄 Message regeneration capability
+- ⚡ Streaming responses
+- 🔒 Secure authentication
+- 🎯 Rate limiting and error handling
+
+## Architecture
+
+The application is built with:
+- FastAPI for the backend API
+- SQLite for chat history storage
+- Async/await patterns for efficient request handling
+- Dependency injection for clean code organization
+
+## Getting Started
+
+1. Clone the repository
+2. Install dependencies:
+```bash
+pip install -r requirements.txt
+```
+
+3. Building the Frontend
+
+[1]. Navigate to the frontend directory:
+
+```bash
+cd frontend
+```
+
+[2]. Install dependencies:
+
+```bash
+npm install
+```
+
+[3]. Build the production version:
+
+```bash
+npm run build
+```
+
+4. Run the application:
+```bash
+python main.py
+```
+
+## Example Interface
+
+Here's how the chat interface looks like
+
+![Databricks Chat Interface](./utils/Databricks_chatbot_app.png)
+
+## Key Components
+
+- `main.py`: FastAPI application entry point
+- `utils/`: Helper functions and utilities
+- `models.py`: Data models and schemas
+- `chat_database.py`: Database interactions
+- `token_minter.py`: Authentication handling

ka-chat-bot/app.yaml

@@ -0,0 +1,11 @@
+command:
+  - "gunicorn"
+  - "main:app"
+  - "-w"
+  - "2"
+  - "--worker-class"
+  - "uvicorn.workers.UvicornWorker"
+
+env:
+  - name: "SERVING_ENDPOINT_NAME"
+    valueFrom: "serving_endpoint"