Multi-Model AI Content & Media Generation SaaS
A comprehensive AI-powered SaaS platform supporting multiple LLM providers (OpenAI, Claude, Gemini) with real-time streaming responses. Features RAG-based knowledge retrieval, multi-engine image generation, voice synthesis with cloning capabilities, and a flexible subscription system. Built with modular service architecture supporting 15+ payment gateways, team-based access control, and configurable cloud storage backends. Implements credit-based usage tracking with separate balances per AI model.
Major features and technical achievements of this project.
Unified interface for multiple LLM providers
Document-grounded AI responses
Multi-engine image creation
Text-to-speech and voice cloning
The architectural patterns and design decisions behind this project.
Unified chat interface supporting GPT-4, Claude 3, and Gemini Pro with real-time token streaming and conversation context management.
Document ingestion through tokenization, embedding generation, and semantic search for context-aware responses.
Support for DALL-E and Stable Diffusion with model-specific credit tracking and configurable storage backends.
Strategy pattern for dynamically resolving and instantiating payment providers based on configuration.
Provider Abstraction
Unified interface across OpenAI, Anthropic, and Google AI. Model selection based on user subscription tier with automatic fallback and load balancing across API keys.
Retrieval-Augmented Generation
Document chunking with tokenizer, vector embedding generation, semantic similarity search, and context-injected responses to reduce hallucinations.
Strategy + Factory Pattern
PaymentPlatformResolverService dynamically instantiates correct payment gateway. TTS services resolved similarly based on provider configuration.
Server-Sent Events (SSE)
Real-time token streaming via Laravel response()->stream(). Enables progressive UI updates without buffering entire responses.