{ "$schema": "https://ui.shadcn.com/schema/registry-item.json", "name": "embedding-space", "title": "Embedding Space", "description": "A cloud of document chunks. Choosing a question draws lines to the closest chunks and ranks them with scores.", "dependencies": [ "three", "@react-three/fiber" ], "devDependencies": [ "@types/three" ], "registryDependencies": [ "https://spotcheckui.com/r/spotcheck-base.json", "https://spotcheckui.com/r/gl-stage.json", "https://spotcheckui.com/r/use-gl-palette.json", "https://spotcheckui.com/r/use-orbit-drag.json", "https://spotcheckui.com/r/use-reduced-motion.json" ], "files": [ { "path": "registry/spotcheck/components/spotcheck/embedding-space.tsx", "content": "\"use client\"\n\nimport * as React from \"react\"\nimport { invalidate as invalidateAll, useFrame, useThree } from \"@react-three/fiber\"\nimport {\n BoxGeometry,\n BufferAttribute,\n BufferGeometry,\n EdgesGeometry,\n type Group,\n LineBasicMaterial,\n type Mesh,\n MeshBasicMaterial,\n PointsMaterial,\n Vector3,\n} from \"three\"\n\nimport { GlStage } from \"@/registry/spotcheck/components/spotcheck/gl-stage\"\nimport { useGlPalette } from \"@/registry/spotcheck/hooks/use-gl-palette\"\nimport { useOrbitDrag } from \"@/registry/spotcheck/hooks/use-orbit-drag\"\nimport { useReducedMotion } from \"@/registry/spotcheck/hooks/use-reduced-motion\"\nimport { cn } from \"@/lib/utils\"\n\nconst START_ANGLE = 0.5\nconst TILT = 0.12\nconst SPIN_PER_SECOND = 0.15\nconst MARKER_EASE = 0.08\nconst LINE_GROWTH = 0.035\nconst POINT_SIZE = 0.15\nconst HIT_SIZE = 0.2\nconst MARKER_SIZE = 0.24\nconst FRAME_SIZE = 9\nconst PALETTE_TOKENS = [\"--ink\", \"--mute\", \"--accent-ink\"] as const\nconst CAMERA = { fov: 42, position: [0, 1.5, 16], near: 0.1, far: 100 } as const\nconst LOOK_AT: [number, number, number] = [0, 0, 0]\n\ntype Palette = Record<(typeof PALETTE_TOKENS)[number], string>\n\nexport type EmbeddingVector = [x: number, y: number, z: number]\nexport type EmbeddingPoint = { id: string; position: EmbeddingVector; label: string }\nexport type EmbeddingNeighbour = { id: string; score: number }\nexport type EmbeddingQuery = {\n id: string\n label: string\n position: EmbeddingVector\n /** The closest chunks, best first. Each `id` is a point's id. */\n neighbours: EmbeddingNeighbour[]\n}\n\n/** Joins a query's neighbours to their points. Neighbours with no matching point are dropped. */\nexport function rankNeighbours(points: EmbeddingPoint[], query: EmbeddingQuery | undefined) {\n if (!query) return []\n const byId = new Map(points.map((point) => [point.id, point]))\n return query.neighbours.flatMap((neighbour) => {\n const point = byId.get(neighbour.id)\n return point ? [{ ...neighbour, point }] : []\n })\n}\n\nfunction positionAttribute(count: number) {\n return new BufferAttribute(new Float32Array(count * 3), 3)\n}\n\ntype CloudProps = {\n points: EmbeddingPoint[]\n target: EmbeddingVector\n hits: EmbeddingPoint[]\n slots: number\n still: boolean\n palette: Palette | null\n rotation: React.RefObject\n dragging: React.RefObject\n}\n\nfunction Cloud({ points, target, hits, slots, still, palette, rotation, dragging }: CloudProps) {\n const group = React.useRef(null)\n const marker = React.useRef(null)\n const invalidate = useThree((state) => state.invalidate)\n\n const parts = React.useMemo(() => {\n const cloud = new BufferGeometry()\n const positions = new Float32Array(points.length * 3)\n points.forEach((point, index) => positions.set(point.position, index * 3))\n cloud.setAttribute(\"position\", new BufferAttribute(positions, 3))\n\n const hitCloud = new BufferGeometry()\n hitCloud.setAttribute(\"position\", positionAttribute(slots))\n const lines = new BufferGeometry()\n lines.setAttribute(\"position\", positionAttribute(slots * 2))\n const frameBox = new BoxGeometry(FRAME_SIZE, FRAME_SIZE, FRAME_SIZE)\n return {\n cloud,\n hitCloud,\n lines,\n box: new BoxGeometry(MARKER_SIZE, MARKER_SIZE, MARKER_SIZE),\n frameEdges: new EdgesGeometry(frameBox),\n pointMaterial: new PointsMaterial({ size: POINT_SIZE, sizeAttenuation: true }),\n hitMaterial: new PointsMaterial({ size: HIT_SIZE, sizeAttenuation: true }),\n lineMaterial: new LineBasicMaterial({ transparent: true, opacity: 0.9 }),\n markerMaterial: new MeshBasicMaterial(),\n frameMaterial: new LineBasicMaterial({ transparent: true, opacity: 0.35 }),\n }\n }, [points, slots])\n\n const motion = React.useRef({ marker: new Vector3(), goal: new Vector3(), grow: 0, spin: 0 })\n\n React.useEffect(() => {\n return () => Object.values(parts).forEach((part) => part.dispose())\n }, [parts])\n\n React.useEffect(() => {\n if (!palette) return\n parts.pointMaterial.color.set(palette[\"--mute\"])\n parts.frameMaterial.color.set(palette[\"--mute\"])\n parts.hitMaterial.color.set(palette[\"--accent-ink\"])\n parts.lineMaterial.color.set(palette[\"--accent-ink\"])\n parts.markerMaterial.color.set(palette[\"--ink\"])\n invalidate()\n }, [invalidate, palette, parts])\n\n React.useEffect(() => {\n const positions = parts.hitCloud.getAttribute(\"position\") as BufferAttribute\n positions.array.fill(0)\n hits.forEach((hit, index) => positions.setXYZ(index, ...hit.position))\n positions.needsUpdate = true\n parts.hitCloud.setDrawRange(0, hits.length)\n parts.lines.setDrawRange(0, hits.length * 2)\n motion.current.goal.set(...target)\n motion.current.grow = 0\n invalidate()\n }, [hits, invalidate, parts, target])\n\n useFrame(({ clock }, delta) => {\n if (!group.current || !marker.current) return\n const state = motion.current\n if (!still && !dragging.current) state.spin += delta * SPIN_PER_SECOND\n group.current.rotation.set(TILT, rotation.current + state.spin, 0)\n\n if (still) {\n state.marker.copy(state.goal)\n state.grow = 1\n } else {\n state.marker.lerp(state.goal, MARKER_EASE)\n state.grow = Math.min(1, state.grow + LINE_GROWTH)\n marker.current.rotation.set(clock.elapsedTime * 0.7, clock.elapsedTime * 0.9, 0)\n }\n marker.current.position.copy(state.marker)\n\n const lines = parts.lines.getAttribute(\"position\") as BufferAttribute\n const { x, y, z } = state.marker\n hits.forEach((hit, index) => {\n const [hitX, hitY, hitZ] = hit.position\n lines.setXYZ(index * 2, x, y, z)\n lines.setXYZ(index * 2 + 1, x + (hitX - x) * state.grow, y + (hitY - y) * state.grow, z + (hitZ - z) * state.grow)\n })\n lines.needsUpdate = true\n })\n\n return (\n \n \n \n \n \n \n \n )\n}\n\ntype EmbeddingSpaceProps = Omit, \"children\" | \"defaultValue\"> & {\n /** Every chunk, with a 3D position you've worked out. The component doesn't compute embeddings. */\n points: EmbeddingPoint[]\n /** The questions to choose from, each with its own position, neighbours and scores. */\n queries: EmbeddingQuery[]\n /** The chosen query's id, when you control it. */\n value?: string\n /** The starting query's id, when the component manages itself. */\n defaultValue?: string\n /** Runs when a different query is chosen. */\n onValueChange?: (value: string) => void\n /** Describes the cloud for screen readers. */\n label?: string\n /** Formats each score. Pass it from a client component. */\n formatScore?: (score: number) => string\n}\n\nexport function EmbeddingSpace({\n points,\n queries,\n value,\n defaultValue,\n onValueChange,\n label = \"Point cloud of document chunks\",\n formatScore = (score) => score.toFixed(3),\n className,\n ...props\n}: EmbeddingSpaceProps) {\n const host = React.useRef(null)\n const reduced = useReducedMotion()\n const palette = useGlPalette(host, PALETTE_TOKENS)\n const { rotation, dragging, bind } = useOrbitDrag({ angle: START_ANGLE, onChange: () => invalidateAll() })\n const headingId = React.useId()\n\n const [internal, setInternal] = React.useState(defaultValue ?? queries[0]?.id)\n const current = value ?? internal\n const query = queries.find((candidate) => candidate.id === current)\n const ranked = React.useMemo(() => rankNeighbours(points, query), [points, query])\n const hits = React.useMemo(() => ranked.map((neighbour) => neighbour.point), [ranked])\n const slots = Math.max(1, ...queries.map((candidate) => candidate.neighbours.length))\n\n const choose = (id: string) => {\n setInternal(id)\n if (id !== current) onValueChange?.(id)\n }\n\n return (\n \n \n \n \n\n
\n
\n
Query
\n
\n {queries.map((candidate) => (\n choose(candidate.id)}\n >\n {candidate.label}\n \n ))}\n
\n
\n\n
\n
\n Top {ranked.length} neighbours\n
\n
    \n {ranked.map((neighbour, index) => (\n \n \n {String(index + 1).padStart(2, \"0\")}\n \n {neighbour.point.label}\n {formatScore(neighbour.score)}\n \n ))}\n
\n
\n\n

\n {query ? `Showing ${ranked.length} closest chunks for: ${query.label}` : \"\"}\n

\n
\n \n )\n}\n", "type": "registry:component" } ], "categories": [ "webgl" ], "type": "registry:component" }