AI-powered document intelligence and semantic search platform built with Rust, React, Python, and PostgreSQL.
Under active development.
- Rust β Core backend and document processing
- React β Frontend
- Python / FastAPI β AI and RAG processing
- PostgreSQL β Database
- pgvector β Vector similarity search
- Redis β Caching and background jobs
- Docker β Containerization
- Document upload and management
- Document text extraction
- Intelligent document chunking
- Semantic search
- AI-powered question answering
- Retrieval-Augmented Generation (RAG)
- Source/citation references
- Document indexing
- Vector similarity search
Rust will serve as the primary backend/processing engine, while Python handles AI/RAG-specific workloads.
Early development β architecture and core components are being implemented.