from semanticlens import SemanticLens lens = SemanticLens( workspace="./lens_data", embedder="colqwen", index="qdrant", ) # Index PDF documents lens.index("./ipcc_reports/") # Search visual evidence results = lens.search( "Figures showing sea-level rise projections", top_k=5, ) for result in results: print(result.score) print(result.evidence.source_path) print(result.evidence.page_number) print(result.evidence.image_path)
There was an error while loading. Please reload this page.