item · 1821 × 2711
Approach Slab Re Wall Crash Barrier Median
not analysedapproach_slab_re_wall_crash_barrier_median_p01_r10Earthworks
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Mindmap builder
SVUP.pdf
1Read the crops17 crops · 0 readconfigured openai/gpt-5.6-terra-pro · about 10¢ for 17 crops · default
Every cropped image from the cropping run, page by page, with what the model read off it: view, objects, measurements, notes and labels. Click a crop to see it beside its JSON.
17 crops, none read yet.
Page 117 crops · 0 read
item · 885 × 2685
Embankment Cross Section With Re Wall And Crash Barrier
not analysedembankment_cross_section_with_re_wall_and_crash_barrier_p01_r11Earthworkscross section
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item · 2116 × 1163
Re Wall With Crash Barrier Detail
not analysedre_wall_with_crash_barrier_detail_p01_r06
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item · 447 × 2669
Roadway Cross Section At Structure
not analysedroadway_cross_section_at_structure_p01_r08
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item · 2188 × 330
Roadway Right Of Way Alignment
not analysedroadway_right_of_way_alignment_p01_r09Earthworks
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crop · 900 × 1246
p01_r01 detail of wearing course and crash barrier edge
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r01_detail_of_wearing_course_and_crash_barrier_edge
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crop · 508 × 3850
NATIONAL HIGHWAYS AUTHORITY OF INDIA - GAD title block
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r02_national_highways_authority_of_india_gad_title_block
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crop · 392 × 745
DRG.NO / REV / DRAWN / CHECKED / APPROVED table
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r03_drg_no_rev_drawn_checked_approved_table
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crop · 2272 × 1168
NOTES
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r04_notes_of_general_design_construction_notesNotes
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crop · 1483 × 1168
NOTES:
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r05_general_notes_material_grades_and_legend_for_gadNotes
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crop · 2092 × 1132
p01_r06 detail z
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r06_detail_z
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crop · 329 × 1811
GENERAL ARRANGEMENT DRAWING OF SVUP AT CHAINAGE 1429+230 Km.
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r07_drawing_title_general_arrangement_drawing_of_svup_at_chainage_1429_230_km
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crop · 424 × 2638
p01_r08 other
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r08_other
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crop · 2164 × 299
p01_r09 plan of row alignment reference line
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r09_plan_of_row_alignment_reference_line
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crop · 1797 × 2695
p01_r10 plan scale 1 225
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r10_plan_scale_1_225
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crop · 861 × 2654
p01_r11 section a a scale 1 225
not analysedsvup_9422943f53ec4f498928f6e8f984e9b0_p01_r11_section_a_a_scale_1_225
Not read yet. Press Analyse crops, or read this one on its own.
item · 923 × 1261
Wearing Course Crash Barrier Edge Detail
not analysedwearing_course_crash_barrier_edge_detail_p01_r01Earthworks
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2Map the itemsnot mapped yetconfigured openai/gpt-5.6-terra-pro · $1.00 → $6.00 per M · default
One set of distinct items across every page. The same bent read as “BENT”, “Interior bent” and “Bent No. 2” is one item here, carrying every page and crop it was seen in. One model call over all of step 1’s readings; the page mapping is resolved from its grouping rather than retyped by it.
Read the crops in step 1 first — there is nothing to group yet.
No items yet. Read the crops in step 1, then map them.
3Match the ontologynot matched yetconfigured openai/gpt-5.6-terra-pro · $1.00 → $6.00 per M · default
Every item from step 2 compared against the project’s engineering ontology, and then, for each one that lands in a class, a take-off of what that class asks for. The class list goes up as a closed vocabulary, so regional wording resolves without a synonym table — BENT to a pier system, PSC BEAM to a prestressed girder. Any class id that is not in the ontology is rejected rather than stored. The take-off reads every crop behind an item, derives what the drawings imply, shows its arithmetic, and says plainly when a number is not there.
Map the items in step 2 first — there is nothing to classify yet.
Nothing classified yet. Map the items in step 2, then match them here.
◈Index for the agentnot indexed · 0 points ready
Everything steps 1 and 2 know, written to the vector store for a chat agent to answer from. Cut fine — a point for each object, each measurement and each note, not one per crop — with the page, the crop and the drawing written into every one, so a retrieved number arrives with enough context to be an answer. The readings as a whole and step 2’s items are indexed too, for the questions that are about a drawing rather than a figure.
Re-runnable at any time: each point is keyed to the record it came from, so re-indexing replaces what changed, adds what is new, and drops what the drawings no longer support. Re-read a crop or correct one by hand, then press this.
Nothing to index yet — read the crops in step 1 first.
Collection mindmap_vectors, filtered on projectId = svup-9422943f53ec4f498928f6e8f984e9b0.