Traditional keyword search can’t always interpret the context and meaning of words, and can get confused with concepts such as synonyms. Vector search is an advanced search technique that understands the semantic similarity between words and returns more relevant and precise results. Today, organizations have more data than ever spread across both on-premises and cloud systems, making it challenging for users to quickly find the relevant information they need to get work done.
Vector search means you don’t need to rely on exact keyword matches, because it considers the semantic relationships between words and concepts, enabling it to find documents that might be missed by traditional search engines. This includes a variety of content types, including audio, video, images, and more.
Ready to learn more? Read “AI-Powered Vector Search: Unlocking the Future of Content Retrieval” on BA Insight’s blog!