A full stack framework that implement open weight AI models

Shonshen is a full stack web application that provides a robust database foundation, acting as a highly reliable retrieval backend. It allows external AI models to:

• Build and deploy Custom LLMs for domain-specific knowledge retrieval, clinical decision support, and enterprise AI workflows.
• Run end-to-end Drug Discovery AI pipelines — from molecular design and toxicity screening to tablet manufacturing prediction.
• Stream and analyze real-time IoT sensor data from edge-deployed micro AI models and digital twin simulations.
• Power semantic search and intelligent retrieval using pgvector embeddings with high-performance vector indexing.

Furthermore, Shonshen leverages PostGIS and MobilityDB to manage dynamic GPS tracking, robust spatial mapping, and coordinate data for advanced Computer Vision (CV) applications.

The Shonshen Platform

Shonshen is a full stack development platform for PostgreSQL.

Shonshen is built to manage PostgreSQL databases, power AI-driven reporting and serve AI, and can integrate any of the rich features of the pgAdmin administration and development platform for PostgreSQL data operations. It is designed to run in enterprise-grade cloud deployments environments.

Shonshen source code is in the public-domain and is free to everyone to use for any purpose.