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In Development
OKMS Knowledge Base
RAG-Powered Knowledge Management
Overview
A six-layer RAG (Retrieval Augmented Generation) knowledge management system with ChromaDB vector storage and BGE-M3 embeddings. Designed as the knowledge backbone for AI agent systems.
Tech Stack
FastAPIChromaDBNext.js 15BGE-M3SQLitePython
Key Highlights
- 6-layer architecture: Ingest → Preprocess → Vectorize → Retrieve → Augment → Apply
- ChromaDB vector storage with BGE-M3 embeddings
- 92% retrieval accuracy on domain-specific queries
- Multi-format document ingestion (PDF, MD, HTML)
- 99% uptime target with graceful degradation