Leverages a powerful LLM to find the closest matches, even when queries contain typos, alternate spellings, or natural language variations.
Goes beyond basic text comparison by using context information, ensuring relevant and meaningful results for complex or ambiguous queries.
Specify exactly how many top matches to return, from just the closest match to a ranked list of best-fit candidates.
Provide contextual hints (e.g., "names of people," "company names," "product SKUs") for even smarter, domain-specific matching.
Offer highly relevant suggestions in search bars, even when users mistype or use synonyms.
Map user-entered names, places, or products to standardized database entries, improving data consistency and user experience.
Match messy, inconsistent, or variant records during data migration and deduplication projects.