Overview
Developed a sophisticated Retrieval-Augmented Generation (RAG) solution for intelligent email classification and processing. This system combines cutting-edge AI techniques with vector embeddings to achieve high-accuracy email categorization, using the FLARE (Forward-Looking Active Retrieval) approach for enhanced contextual understanding.
Architecture
Key Features
Vector Database Integration
Dual-store architecture using Vector DB and PG Vector
FLARE Approach
Forward-Looking Active Retrieval for proactive context gathering
Semantic Search
Query vector database for similar historical emails
Confidence Scoring
Assign confidence metrics to each classification
Tech Stack
PythonVector DBPostgreSQLLLMFLARECelery