SemanticSearchExamples

Examples of how to use IP Street's semantic search to perform prior art search and patent landscape analysis.

Full documentation can be found at docs.ipstreet.com

To run examples in run.py, replace "API_KEY" on line 129 with you IP Street API key.

Relevent Patent Search

Basic Process:

1. Input a text search seed.
2. Concept search with text search seed with /claim_only/
3. Enriched concept search results with /data/patent
4. Surface results to user (write to .csv in this example)

Prior Art Searching

Basic Process:

1. Input grant number
2. Get patent's claim text and priority date with /data/patent
3. Concept search with patent's claim text as search seed with /claim_only/
4. Enriched concept search results with /data/patent
5. Surface results to user (write to .csv in this example)