public function analyzeLedger(Request $req) {
// Trigger RAG Pipeline
$context = VectorDB::search('transactions');
return Gemini::stream($context);
}
// Trigger RAG Pipeline
$context = VectorDB::search('transactions');
return Gemini::stream($context);
}
Featured Post
AI/ML
Laravel
Architecture
Building a RAG-Powered Financial Assistant with Gemini & Laravel
How we architected a Retrieval-Augmented Generation pipeline that processes real-time market data, user financial context, and delivers personalized AI insights with 99.9% accuracy.
Het Soni
Chief Architect