Arrowhead Copilot AI-Driven Innovation for System Engineering
AI Summary
Summary of Video: Arrowhead Co-Pilot
- Introduction
- Presenter: Chaba Hagad
- Overview of Arrowhead Co-Pilot features and access methods.
- Co-Pilot Features
- Contextualization and Knowledge Base
- Uses Retrieval-Augmented Generation (RAG).
- Access to Arrowhead documentation.
- Reasoning Capabilities
- Multi-step problem-solving ability.
- Integration with various tools via planning engine.
- Demo Overview
- Access to a staging environment available via email request.
- Demonstration of a chatbot interface with features to query information.
- User interaction with chatbot including query execution and API calling.
- User Interactions
- System requires user feedback for improvement.
- Chatbot checks user inputs for guideline adherence (e.g., profanity, relevancy).
- Knowledge Base Functionality
- RAG pipeline processes documents and extracts relevant information.
- Ability to create and manage custom documents or virtual notebooks.
- Intelligent partitioning system for effective knowledge retrieval.
- Monitoring and Feedback
- LLM Ops framework monitors interactions for QA.
- System equipped to handle various API integrations flexibly.
- Conclusion
- System utilizes GPT-4 and can be adapted for various environments, not exclusively Arrowhead-specific.
For access, contact the presenter via email to explore the capabilities firsthand.