Q&A with RAG Accelerator

This accelerator enables high-accuracy question answering over customer-defined knowledge corpuses in watsonx.data (OpenSearch/Milvus) or watsonx Discovery/Elastic, with end-user feedback collection, topic detection, and user satisfaction reports by topic with drill-down insights to improve the corpus. To build a corpus, it converts HTML, PDF, DOCX, PPT, MD, TXT to text, splits into chunks, and indexes them. It deploys a Python AI Service that queries the index, fetches top results, runs LLM inference with hallucination checks. It also includes Knowledge Coverage Insights (KCI) for identifying corpus knowledge gaps, semantic relevance analysis, and taxonomy-based document understanding. Click Create a project to get started or Log In. Don't have an account yet? Sign Up for a free account.