Skip to content

About

A reasoning auditor built on an agentic RAG pipeline. Uses Cross-Encoders and Hybrid Search to stress-test logic, detect cognitive biases, and identify systemic contradictions by comparing current arguments with historical data. Engineering clarity through verifiable, quote-backed AI insights.

Resources

Stars

1 star

Watchers

0 watching

Forks

Repository files navigation

Decision Agent 🧠

Python FastAPI React Docker

AI-powered analysis engine for making better decisions.


🚀 Features

  • Custom Fine-Tuned Cross Encoder: fine-tuned model to detect logical coherence and argument strength.
  • Logical Analysis: Deconstructs arguments into Claim → Evidence.
  • Bias Detection: Identifies cognitive traps like Sunk Cost Fallacy.
  • RAG Context: Checks new decisions against your personal archive.
  • Qdrant Vector DB: Semantic search for similar past dilemmas.
  • Real-time Processing: Asynchronous analysis with polling.

🛠️ Stack

Backend

  • FastAPI: High-performance async API.
  • PyTorch (Last Mile): Custom Cross-Encoder for logic scoring.
  • LangChain: Orchestration for RAG and LLM flows.

Frontend

  • React + Vite: Fast, modern UI.
  • Tailwind CSS: Sleek, responsive design.
  • Framer Motion: Smooth animations.

Infrastructure

  • Docker Compose: Full stack orchestration.
  • Qdrant: High-performance vector search.
  • Nginx: Production-grade reverse proxy.

⚡ Quick Start

1. Run Production (Docker)

make deploy-prod

Access at: http://localhost

2. Run Local Dev

make build
make run

📚 Documentation

About

A reasoning auditor built on an agentic RAG pipeline. Uses Cross-Encoders and Hybrid Search to stress-test logic, detect cognitive biases, and identify systemic contradictions by comparing current arguments with historical data. Engineering clarity through verifiable, quote-backed AI insights.

Resources

Stars

1 star

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages