Product Requirements Document (PRD)Product Name: AI-Powered Database Visualization & Interaction Platform1. Product OverviewAn AI-first platform that enables users to connect to SQL and NoSQL databases, visualize and create schemas, and query data using natural language. The platform also provides data visualizations based on query results and AI-suggested queries for better insight and usability.2. Core Featuresa. User Onboarding & DB ConnectionConnect to local and remote databasesSupported DBs: PostgreSQL, MySQL, MongoDB, Firebase, etc.Auth options: Username/password, tokens, SSH keys, ENV-based configurationSecurely store and manage connectionsb. Database Import & VisualizationImport existing database schemas:SQL: Tables, views, foreign key relationshipsNoSQL: JSON documents with inferred structureVisualize schemas in an interactive graph UI (ERD for SQL, tree/nodes for NoSQL)c. AI Schema Generation via PromptAI chatbot to generate schema from natural language promptsExample: "Design a schema for a library with books, authors, and borrowers"Automatically create tables, fields, indexes, and relationshipsd. Schema Editor & ExportDrag-and-drop editor to design schema manuallyExport formats:SQL DDL for SQL databasesJSON schema for NoSQL databasese. Chat-Based Query BuilderAsk questions in natural language to get data from DBAI converts prompt to SQL or NoSQL query and runs itDisplay result as tableExample: "Show top 10 customers by revenue"f. Data VisualizationBased on query results, suggest best visual formatsSupported charts: bar, pie, line, tableManual chart customization availableDownload and share chartsg. AI Query SuggestionsContext-aware suggestions:Common queriesJoins and aggregationsTop used fieldsh. Versioning / HistoryAuto-save changes in schema designsTrack version historyCompare differences between versions3. Tech Stack (Suggested)Frontend: React + Next.js, D3.js for visualizationsBackend: Node.js / FastAPI, WebSocket for real-time syncDatabases: PostgreSQL (for app data), MongoDB, MySQL, Firebase supportAI Integration: OpenAI API for natural language processingAuthentication: OAuth2, JWTHosting/Cloud: Vercel, Supabase, AWS (optional)4. User PersonasDevelopers: Need fast, visual schema design and querying toolsData Analysts: Want to explore data with queries and chartsProduct Managers: Ask business queries without SQL knowledgeStartup Founders: Plan and visualize DBs quickly5. Future EnhancementsReal-time team collaboration and live cursor editingSchema optimization suggestions using AIAlerting & triggers on DB changesIntegration with pipelines (Kafka, BigQuery, etc.)6. MVP ChecklistFeature Must Have DB Connection (SQL & NoSQL) ✅ Schema Visualization ✅ Prompt-to-Schema ✅ Prompt-to-Query ✅ Query Result Table ✅ Chart Generation ✅ Export/Import Schema ✅ Team Sharing ❌ (Future) Realtime Collaboration ❌ (Future)7. Competitive LandscapeTool Features dbdiagram.io Manual schema design, SQL import/export TablePlus / DBeaver Query runner, DB management, visualization Retool Low-code dashboards and DB integration ChatGPT (Text2SQL plugins) Prompt-to-query only, no schema/design tools DataGPT / MindsDB AI queries, some visualization capabilitiesYour product will uniquely combine:AI-assisted schema generationFull schema editingAI query assistantIntegrated visualizationDB import/export for both SQL and NoSQL8. ConclusionThis platform offers an end-to-end intelligent solution for users to design, interact with, and visualize their databases in a code-free, AI-enhanced interface. With its multi-database support and intuitive user experience, it can serve developers, analysts, and business users alike.
I'll help you build an AI-powered database visualization and interaction platform based on your comprehensive PRD. This will be a feature-rich application that combines database management, AI-powered schema generation, natural language querying, and data visualization.
I've created a comprehensive AI-powered database visualization and interaction platform based on your PRD. This application includes all the core features you specified:
The application uses Server Actions for AI-powered features, providing seamless integration between the frontend and AI capabilities. The interface is fully responsive and includes proper loading states, error handling, and user feedback.