Combining search and GenAI with SearchBlox

Of all the knowledge management responsibilities, search is the one most impacted by generative AI. As search moves from keywords to conversation and can generate content, enterprises experience a more intuitive and intelligent approach to information retrieval.

KMWorld recently held a webinar, Reshaping Information Discovery: Search and GenAI, with Katie Selvaraj, AI strategist, SearchBlox Software, Inc, who discussed how search is evolving from retrieval to understanding intent and how organizations can transform knowledge into adaptive enterprise intelligence.

Blend keyword accuracy with vector search capabilities to deliver highly relevant results, Selvaraj explained.

Hybrid search offers keyword plus semantic search results; adaptive weights to fuse and re-rank; adjusts based on data type (structured versus unstructured); identifies relevant results via similarity search; and improves accuracy and reliability.

Retrieval-Augmented Generation (RAG) enhances LLM accuracy by grounding answers in real data, she said. RAG splits content into smaller chunks for faster, smarter retrieval. And it combines retrieval, augmentation, and generation for context-rich results.

Using RAG for enterprise search grounds AI answers in your own verifiable data, reduces hallucinations and supports citations for transparency, and handles large documents with precise, chunk-based retrieval.

According to Selvaraj, to build this architecture she suggests doing the following:

• Securely import all your proprietary data sources.
• LLM-powered metadata gives each piece of data a unique DNA to improve findability.
• Combine vector search and keyword search for a highly relevant search experience.
• LLM Reranking surfaces the most relevant content first.
• The user experience becomes a blazing-fast and hyper-relevant search experience across your site.

AI mode turns search into a conversation by keeping context across multiple questions for continuous dialogue and enabling conversational exploration of enterprise knowledge.

For the full webinar, featuring a more in-depth discussion, Q&A, and more, you can view an archived version of the webinar here.