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Team Project
CLARIX
CLARIX is a collaborative AI-assisted knowledge retrieval system designed to solve the challenge of querying unstructured data at scale.
Overview
CLARIX is a collaborative AI-assisted knowledge retrieval system designed to solve the challenge of querying unstructured data at scale. Built in a team environment, the platform combines relational database design with vector-based semantic search to deliver accurate, context-aware query responses. The system structures raw data into normalized PostgreSQL schemas and leverages pgvector for embedding-based similarity search, enabling users to retrieve precise answers from large, heterogeneous datasets.
Features
01
Structured relational schemas using PostgreSQL for normalized, query-efficient data storage
02
Semantic search powered by pgvector embeddings for context-aware information retrieval
03
RESTful API layer built with Express.js for modular, team-scalable backend architecture
04
AI-assisted query pipeline that combines keyword filtering with vector similarity ranking
05
Collaborative codebase designed for parallel development across multiple contributors
Architecture
architecture diagram