GRC Library: Technology

GRC Library is your trusted platform leveraging cutting-edge AI technology to revolutionize your Governance, Risk, and Compliance (GRC) management. We empower businesses of all sizes to build robust and efficient GRC programs through enterprise-grade data and innovative AI-powered tools.

GRC Library combines multiple AI technologies to create a risk and compliance management friendly platform.

Key AI Technologies:

• Google Vertex AI: Google Vertex AI is a unified platform for building, deploying, and managing machine learning models and AI applications.
• OpenAI: OpenAI is a leading provider of AI services and technology, offering state-of-the-art solutions for natural language processing, machine learning, and other AI applications.
• Hugging Face: Hugging Face is a platform for sharing and collaborating on machine learning models, datasets, and applications. GRC Library uses some models from Hugging Face.
• Text Embeddings: Think of it as translating your words into a language computers can understand. This intricate process allows the chatbot to grasp the meaning behind your words, not just the surface level.
• LLMs (Large Language Models): Large Language Models (LLMs) are powerful AI programs that can understand and generate human-like text.
• Pretrained Models: Pretrained models are pre-trained on large datasets and can be fine-tuned for specific tasks, saving time and improving performance. GRC Library uses multiple pretrained models to analysis and develop GRC management data.
• PG Vector: pgvector is a tool that turns PostgreSQL into a powerful vector database for storing and searching high-dimensional data.
• LangChain: LangChain is a framework that simplifies building applications powered by large language models.

Platform Technologies:

• PostgreSQL: The cornerstone of the chatbot's memory, this secure and reliable database stores your requests, responses, and preferences, ensuring they're always on hand.
• PHP & Python: These programming languages are the builders behind the scenes, weaving the code that makes the chatbot interact with the database and deliver you valuable information.