Correct complete RAG -- built for Highway Workflow Engine
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Updated
Aug 23, 2026 - Python
Correct complete RAG -- built for Highway Workflow Engine
This python powered AI based RAG Scraper allows you to ask question based on PDF/URL provided to the software using local Ollama powered LLMs
An intelligent automated Risk & Compliance Copilot engineered to trace an auditable Line-of-Custody (Signal ➔ Evidence ➔ Report) for financial entities. Built using Python, Streamlit, FAISS vector search, and Gemini RAG pipelines to instantly process transaction logs against dense regulatory frameworks.
This project aims to develop an autonomous contract bot. It focuses on building, evaluating, and refining a RAG system for Contract Q&A, enabling independent contract drafting, review, and negotiation.
Progressive RAG learning lab — 8 pipelines from naive to agentic, with LangChain, LangGraph, CRAG, and RAGAS
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