Scalable natural language processing for large and dynamic text environments

This invention describes a system that intelligently finds relevant information by comparing a question with potential answers obtained from search engines. It uses a sophisticated matching process that considers multiple factors, including how similar the question and answer are in meaning, to refine a knowledge base. This knowledge base, which represents concepts as dense semantic vectors, is continuously improved through neural network training and new search results for more accurate future matching.

Why it matters: Filed before the widespread adoption and advanced capabilities of large language models (LLMs) and vector databases. These modern technologies now offer significantly more powerful and scalable ways to perform the invention's core semantic matching, knowledge base refinement, and dense vector representation.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedComplex software logic, machine learning, data pipelines

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10