Manifest Alchemy AI

Problem

Built a comprehensive AI reasoning platform that enables structured prompting, semantic retrieval, and personalized AI memory. The system needed to handle complex reasoning tasks while maintaining context across sessions and providing fast, accurate responses through vector-based similarity search.

Architecture

Technical Challenges

• Structured Prompting: Designed flexible prompt engineering system that enables complex reasoning tasks with consistent output formatting.
• Semantic Retrieval: Implemented vector database integration for fast similarity search and context retrieval across large knowledge bases.
• Memory Architecture: Built personalized AI memory system that maintains user context and preferences across sessions.
• Full-Stack Integration: Seamlessly connected React frontend with backend services, ensuring real-time updates and responsive user experience.

Optimization Work

• Vector Search Performance:Optimized embedding generation and similarity search algorithms for sub-100ms retrieval times.
• Database Queries: Implemented efficient indexing strategies and query optimization for PostgreSQL operations.
• Frontend Performance: Optimized React rendering and state management for smooth user interactions.
• Caching Layer: Implemented intelligent caching for frequently accessed data and user preferences.

Deployment Details

• Frontend: Next.js application deployed on Vercel with optimized build pipeline
• Database: PostgreSQL hosted on Supabase with vector extension support
• Vector DB: Integrated vector database for semantic search capabilities
• API: RESTful API layer with structured prompt processing and LLM orchestration

Impact

Created a production-ready AI reasoning platform that demonstrates advanced capabilities in LLM orchestration, semantic retrieval, and personalized memory systems. The platform showcases full-stack AI engineering skills, from frontend React development to backend database design and vector search implementation. Successfully integrated multiple technologies to create a cohesive, performant AI system.