Tag: AI

Vector-only retrieval misses exact terms, relationships and use-case-specific context, so multi-layer indexing and per-experience retrieval configuration decide whether agentic RAG stays trustworthy at scale.

Continuous RAG evaluation turns accuracy from a sampled opinion into scored, traceable evidence for governance and quality teams. Instead of one reviewer’s read on a handful of answers, every response gets scored for context relevance, answer relevance and groundedness, and those scores accumulate into a trend line a quality lead can actually inspect.

Q&A with Belong CEO Pierre Azzam discusses how AI is changing digital experience content, capabilities, expectations and priorities.

Progress Software recently hosted its OpenEdge World Tour across the globe. Australia was a key market with three cities visited: Melbourne, Sydney and Brisbane. In every city, we met with customers, partners, developers, and technology leaders who shared how they are using OpenEdge to develop, run, and evolve on-premise or cloud applications that demand reliability, security, and long-term trust.

Brand consistency has always mattered, but with AI search now driving first impressions, this importance is amplified more than ever. If LLM inputs are inconsistent, the output will be too.