Open-source prior-art search engine and API that uses semantic vector matching over patent and non-patent literature, letting inventors, examiners and developers run novelty searches from plain-language invention descriptions rather than Boolean queries.
Key Features
- Semantic vector matching
- Supports patent and non-patent literature
- Natural-language invention descriptions
- Open-source search engine and API
- Replaces complex Boolean queries
Pros
- Lowers the barrier to patent search
- Supports plain-language description queries
- Open-source with high flexibility
Cons
- Requires some technical background for API integration
- Search quality depends on the precision of the natural-language description
Use Cases
- Novelty assessment before filing a patent
- Prior-art searches by patent examiners
- Developers building a dedicated search system
Editor's Note
PQAI overturns the traditional patent-search reliance on Boolean logic, making natural-language search the new standard for patent analysis.
FAQ
Is PQAI free?
PQAI is an open-source prior-art search engine and API that users can deploy and use through open-source resources.
Who is this tool suitable for?
It is ideal for independent inventors, enterprise R&D teams, patent examiners, and developers who need to integrate search features.
How do I run a prior-art search?
Users can directly enter a plain-language invention description, and the system finds relevant literature through semantic vector matching.
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