This awareness led to the evolution of SearchUnify Cognitive Search that is now part of an enterprise agentic platform for self-service and customer support. Agents and customers alike need accurate and contextual information that may be scattered across numerous data sources, including technical documents, company policies, and financial databases. “Robust LLM integration across our suite of products, coupled with federated retrieval-augmented generation architecture,” said Taranjeet Singh, head of AI for SearchUnify, “provides fine-tuned, contextual, and intent-driven conversational experiences at scale.”
Grazitti Interactive advocates a BYO approach to LLMs; it supports major LLMs and benchmarks them against global standards. The recommendation for the optimal LLM is based on specific needs, such as summarization or conversational tasks, considering both cost and performance. “This approach ensures we provide the best solution tailored to each customer’s requirements,” noted Singh. “We support vector embeddings with a variety of models and algorithms such as approximate nearest neighbors (ANN) and re-ranker techniques, enabling hybrid search and other advanced techniques to fully utilize vector search capabilities.”