Personal AI System
Comprehensive personal AI assistant with RAG capabilities, tool integration, and local-first architecture. Currently implementing MVP with document retrieval and knowledge synthesis.
Core Capabilities
RAG Knowledge Retrieval
Advanced retrieval-augmented generation system with document ingestion, vector search, and citation-based knowledge synthesis.
Tool Integration Framework
Extensible tool allowlist system with strict validation, safety guardrails, and support for external API integrations.
Local-First Architecture
Privacy-focused design with local AI models (Ollama/vLLM) and cloud fallback options for optimal performance and security.
API Gateway Design
Comprehensive API architecture with LLM Gateway for language intelligence and Personal API for orchestration and routing.
Technical Implementation
LLM Gateway
Dedicated service for language model interactions with streaming support, timeout management, and model routing capabilities.
Document Processing
Automated document ingestion with provenance tracking, ACL management, and vector database integration for efficient retrieval.
Tool Orchestration
Intelligent routing system with JSON schema validation, uncertainty handling, and fallback mechanisms for reliable tool execution.
Security & Privacy
Comprehensive security model with PII redaction, bearer token authentication, and local-first data storage policies.
Project Impact & Achievements
Developing a secure, extensible personal AI system that combines knowledge retrieval with intelligent tool orchestration
Key Achievements
Designed comprehensive API architecture with LLM Gateway and Personal API
Implemented RAG MVP with document ingestion and retrieval capabilities
Built tool allowlist system with strict validation and safety guardrails
Created local-first architecture with cloud fallback options
Technical Innovation
- • Comprehensive API architecture with clear separation of concerns
- • Advanced RAG implementation with citation tracking
- • Extensible tool framework with safety-first design
- • Local-first approach with cloud fallback capabilities
- • Privacy-focused design with PII protection
- • Scalable architecture supporting multiple connectors