LINKK AI
By combining the Vector Search Engine with a Keyword Search Engine, we create a hybrid system that seamlessly blends keyword matching with vector similarity
|
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.
|
With the rapid development of network technology, website updates have become more frequent, and changes in class names or structures often bring considerable challenges to crawlers that rely on these elements. LINKK crawlers cope with this challenge by understanding and parsing the semantic information of web pages. Besides Web pages, AI crawlers can extract information from various repositories with secure logon information.
|
LINKK Capture adopts intelligent data extraction with or without template-building and rule-setting. It goes beyond the limitation of no. of Page per year, thus reducing the cost for traditional OCR engines. Multiple languages including Chinese and English are supported.
|
