A groundbreaking research chatbot developed by Siemens unlocks access to 700,000 pages of documentation, enhancing productivity for researchers. Key concerns such as quality, data security, and cost are addressed through innovative solutions like Cortex search and hybrid search, which combines vector and keyword-based searches to minimize hallucinations and improve relevance. Insights reveal that model tuning and hybrid search techniques play crucial roles in ensuring high-quality responses.
