Semantic Search
Search by meaning, not just keywords. Find documents that discuss a concept even when they use different terminology, synonyms, or domain-specific language.
Transform massive PDF repositories into an intelligent AI retrieval system with semantic search and grounded responses. Works on scanned documents, engineering specs, legal archives, and research libraries.
128 results across 89 documents · 0.41s
The nominal flexural strength of a rectangular beam section shall be computed as Mn = As·fy·(d − a/2), where the depth of the equivalent rectangular stress block...
Load-bearing capacity for reinforced concrete beams depends on concrete compressive strength (f'c), steel yield strength (fy), and the area of tension reinforcement...
Per project specifications, all beams carry a minimum 4,000 psi compressive load with f'c = 28 MPa. Safety factor applied: 1.6 per ASCE 7-22...
Search by meaning, not just keywords. Find documents that discuss a concept even when they use different terminology, synonyms, or domain-specific language.
Every answer highlights the exact passage in the original PDF. Click any citation to jump directly to the highlighted text on the correct page.
Automatically extract text from scanned documents, handwritten notes, and image-based PDFs. No document is left unsearchable, regardless of how it was created.
Retrieve the exact paragraph or section that answers the question — not just the document. Granular retrieval means fewer false positives and faster answers.
Every result includes a relevance score based on semantic similarity, document authority, and recency. Sort and filter by any scoring dimension.
Monitor ingestion status, coverage gaps, and search analytics across your entire document library from a single management dashboard.