Context Augmented Generation
Traditional Retrieval Augmented Generation (RAG) allows LLMs to leverage information retrieved from your entire database. CAG further augments LLMs with context derived from previous interactions, user data, or domain-specific information, driving more accurate and powerful applications for specific industry-relevant tasks.
Industrial Agent Builder
A low-code tool to create virtual AI assistants focused on solving domain-specific problems with a deep understanding of the industry’s context, terminology, and workflows. Memory 4 Your AI™ walks you through every step of the process:
- Problem Definition and Requirements Analysis
- Data Collection and Preprocessing
- Model Selection and Design
- Training and Optimization
- Continuous Improvement
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