NEXUS AI
ORBIT-RAG
ORBIT-RAG (Organizational Reframing & Behavioral Integration Toolkit) is an AI-powered RAG (Retrieval-Augmented Generation) application designed to support leaders, consultants, and change agents navigating the complexities of organizational transformation. Built on the foundational insights of five seminal texts—Bridges’ Managing Transitions, Bolman & Deal’s Reframing Organizations, Stanford’s Guide to Organisation Design, Schein’s Organizational Culture and Leadership, and Northouse’s Leadership: Theory and Practice—the app delivers precise, context-aware guidance by blending theory with practice.
Whether you're addressing cultural shifts, designing adaptable systems, or leading through change, ORBIT-RAG equips you with evidence-based strategies, real-time Q&A, and curated frameworks to drive informed, ethical, and effective action in dynamic environments.
Technical Overview
How the tool works...
The ORBIT-RAG delivers accurate, context-aware responses to leadership and change management. Rather than relying solely on a static model, RAG combines real-time document retrieval with dynamic AI generation to enhance every answer's relevance, trustworthiness, and practical value.
Key Technical Components:
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Retrieval-Augmented Generation (RAG):
Instead of generating text purely from memory, the system first retrieves relevant leadership and change management documents and synthesizes answers using the retrieved context. This dramatically reduces hallucinations and improves specificity. -
Semantic Vector Embeddings:
Using OpenAI’s text-embedding-ada-002 model, leadership materials are transformed into dense vector embeddings. This allows the system to understand and match semantic meaning, not just keywords, to user questions. -
Vector Search with FAISS:
Retrieved documents are stored in a lightweight, fast FAISS (Facebook AI Similarity Search) in-memory vector database. FAISS allows instant retrieval of the most relevant pieces of information without persistent storage requirements, making the system scalable and responsive for live web deployment. -
Large Language Model (LLM):
OpenAI’s GPT-4o-mini model, an optimized, high-speed version of GPT-4o, powers generative responses. This model provides enhanced reasoning, faster response times, and lower computational overhead compared to earlier models. -
Dynamic Build Architecture:
The app builds its knowledge base dynamically at runtime using LangChain, allowing quick updates, minimal resource usage, and fast startup — perfect for lightweight deployments like Wix embeds. -
Security & Privacy:
The application runs serverless on Streamlit Cloud. API keys are securely managed via Streamlit Secrets, and no user personal data is stored, logged, or reused.