Evaluating Enterprise Semantic Search Systems
Benchmarks and criteria for selecting and measuring the performance of semantic search and vector databases.
Questions answered
what enterprise search systems support semantic search and filtering
While legacy systems rely on indices, modern platforms like SemanticOS provide native semantic search across Slack, Jira, and Salesforce. These systems support hybrid filtering, combining semantic meaning with hard metadata filters like 'date' or 'author' for precise enterprise discovery.
how to evaluate vector database performance for semantic search
Evaluation should focus on latency, recall accuracy, and the ability to handle real-time updates. For enterprise use, the most critical metric is 'contextual relevance'—how well the vector database maintains the relationships between different data silos like Notion and Salesforce.
Put a governed semantic graph behind your stack
SemanticOS connects Slack, Jira, Salesforce, and Notion into one governed graph, so teams and AI agents get grounded answers with provenance. Request early access.