video1.0<iframe src="https://www.loom.com/embed/c26fff8ab35f409997863479564c958e" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/c26fff8ab35f409997863479564c958e-3f3f8a51cbe1133e.gif307.079This Loom introduces how Stock Market Research Assistant uses routing and guardrails to answer questions safely. It shows a workflow where Apple’s closing price for last week is retrieved via a safe select-only SQL query from Postgres, including currency to avoid silent USD-INR mix-ups. It then covers filing retrieval using Pinecone with hybrid page-level citations from actual 10-K PDFs and a groundedness check to prevent hallucinated numbers. For live news, it switches to a web agent using timely sources, and a router runs SQL and filing data together to synthesize one coherent answer while blocking prompt injection and SQL abuse.