Trident RAG: Local AI Quality Assurance Platform (Enterprise)

🛑 Is your RAG Chatbot lying to your users?

You built a "Chat with PDF" bot. It works great on the demo file. But what happens when a user asks a tricky question? Does it make things up? Does it cite the wrong page?

If you are deploying RAG to production, "vibes" are not a metric. You need receipts.

Introducing Trident RAG. The local-first Quality Assurance platform for AI Engineers. Stop guessing. Start auditing.

⚡ Key Features:

• The AI Judge: Automatically grades every answer for Faithfulness (did it hallucinate?) and Relevance (did it answer the question?).
• Visual Citations: See exactly which chunks were retrieved and where the LLM got its answer (with page numbers).
• Batch Exam: Upload a CSV of 50 questions and grade your entire pipeline in one click.
• Enterprise Audit: Logs every interaction to a local SQLite database for compliance.
• Local-First Privacy: Runs 100% on your machine. Supports Ollama (Llama 3) and OpenAI.

📦 What's Inside (v1.0 Enterprise ZIP):

• Full Python Source Code (Streamlit + LangChain).
• The Trident Evaluation Engine.
• One-Click Launchers.
• Commercial License for unlimited projects.

Requirements: Python 3.11+