At Stackspot AI, we are dedicated to continually improving our contextualization mechanisms to enhance user experience and the effectiveness of our genAI code companion. As part of this ongoing effort, we are exploring various hypotheses and conducting experiments to refine our RAG (Retrieval-Augmented Generation) mechanism. In this update, we will be bringing the idea of a ReRanker to help StackSpot AI decide the best Knowledge Object to be used and bring even more relevant documents when users ask anything for the StackSpot AI.
Intended Outcomes:
Improved relevance of generated content based on uploaded documents, code, APIs, etc.
Enhanced contextual understanding for better code suggestions and assistance.
Streamlined user experience with more accurate and tailored recommendations.
Increased efficiency in leveraging user-provided content for generating helpful insights
Summary:
At Stackspot AI, we are dedicated to continually improving our contextualization mechanisms to enhance user experience and the effectiveness of our genAI code companion. As part of this ongoing effort, we are exploring various hypotheses and conducting experiments to refine our RAG (Retrieval-Augmented Generation) mechanism. In this update, we will be bringing the idea of a ReRanker to help StackSpot AI decide the best Knowledge Object to be used and bring even more relevant documents when users ask anything for the StackSpot AI.
Intended Outcomes: