When we first set out to integrate Explainable AI into our MLOps workflow, it wasn’t just about implementing a set of tools. It was about solving a deeper challenge: ensuring that our AI models were not only powerful but also transparent…
Empowering CONVAID with Palantir Ontology
Introduction As part of my work on CONVAID, a powerful text-to-SQL system, I had the opportunity to enhance its capabilities by integrating Palantir Ontology as the vector database. This transformation introduced a more structured and streamlined approach to SQL query generation….
FinRAG: Building a Financial Document Query System with RAG
Introduction In the fast-paced world of finance, where decisions hinge on timely and accurate information, I saw an opportunity to enhance how financial documents are queried and analyzed. That’s how FinRAG (Financial Retrieval-Augmented Generation) came to life. I built FinRAG to…
