LINKK AI Search

Cutting-edge Hybrid Keyword‑Vector Search Engine to find information across the organization and beyond. Short queries yield highly relevant results.

Hybrid Keyword‑Vector Search 
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Auto-classification

Turn every document into a high‑dimensional semantic vector and surface the most relevant results in milliseconds. By combining the Vector Search Engine with a Keyword Search Engine, we create a hybrid system that seamlessly blends keyword matching with vector similarity. This architecture delivers the precision of a traditional term‑based index while leveraging the contextual understanding of embeddings, allowing the platform to scale effortlessly to millions of records and to ingest updates in real time.

Auto-classification combines structured data, metadata, and free text for efficient information retrieval. Users can sort and filter information using pre-set parameters and search through filtered text fields. For instance, in equity research, structured parameters can be selected and stock descriptions matching these parameters can be searched for relevant information, like undervalued energy companies

AI Summary Generator
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Spelling and Title Suggestions

​LINKK Search helps users find relevant information faster through its intelligent document description extraction using Generic Language Processing, providing context to query terms in the results list without having to open and read every document.

​LINKK Search reduces failed searches with its ability to suggest alternative spellings for misspelled queries using a dictionary built from the index, improving user satisfaction in complex terminology environments and increasing successful product searches on ecommerce sites. ​It also generates meaningful titles for documents with missing or incorrect titles to help users find the right document faster

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