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Package details

Latest version
1.1.0
Last updated
First released
Unity version
6000.5.2 or later
Package size
29.1 MB
Files
347
Views in the past week
32

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AI Semantic Search

by Sniveler Code

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Find prefabs by meaning, not filename. Fully local Unity Sentis embeddings, SQLite index, instant SIMD search. No API keys.

-100% $4.99 Free

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Price history

Last 6 months

USD
Price history for AI Semantic Search, 6 months Current Free; lowest Free; highest $4.99 in this period. $0 $2.5 $5 28 Sep 5 Oct 12 Oct 19 Oct 26 Oct 2 Nov

Asset preview

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AI Semantic Search screenshot 1

AI Semantic Search screenshot 1

About this asset

AI Semantic Search lets you find project assets by describing them in plain language - "heavy axe", "small green plant", "loud explosion" - instead of remembering exact filenames.

Everything runs locally in the Editor: no API keys, no internet, no cloud.

Features:

  • Natural-language search - BERT-style embeddings (MiniLM-L6-v2) computed locally with Unity Sentis.
  • Prefab intelligence - understands names, components (Lights, VFX, Physics), folder/category context, materials and mesh geometry.
  • SIMD-accelerated cosine similarity + text-match bonus, with a sensitivity slider for fine control.
  • SQLite storage - project-local index (Library/), gitignored, rebuildable at any time.
  • Extensible - add custom metadata extractors and asset kinds via a small API (Metadata<T>), no core changes.
  • Included sample - MiniLM ONNX model, BERT tokenizer config and medieval demo prefabs so the tool works immediately after import.

How it works:

  • Import the sample, then open Window > SnivelerCode > Semantic Search.
  • Assign the model and tokenizer once (Embedding tab).
  • Press Check and Index in the Prefabs tab.
  • Search in plain English.

Requirements:

  • Unity 2022.3 LTS or newer (tested on Unity 6 / 6000.5).
  • com.unity.ai.inference (Sentis) 2.3.0+, resolved automatically by UPM.
  • Compute shader support for the GPU backend (CPU backend available).

From the publisher's Asset Store listing.

Technical details

Architecture:

  • Editor-only UPM package (sniveler-code.dev.semanticsearch): UI Toolkit window, custom DI container (MiniContainer).
  • Embeddings: Unity Sentis ONNX runtime (com.unity.ai.inference 2.3.0+), MiniLM-L6-v2 (float32, ~90 MB) - CPU or GPU (compute shader) backend.
  • Search: SIMD-accelerated cosine similarity with text-match bonus and per-project sensitivity setting; branch-free vector math (Unity.Mathematics)
  • Storage: SQLite (sqlite-net) at Library/SnivelerCode_SemanticIndex.db - asset index, properties, metadata; content-hash-based atomic category re-bake (FNV-1a).
  • Categories: 253 built-in keyword databases (General 77, Detailed 138, Components 27, Materials 11); project-editable JSON with automatic re-bake.

Extensibility:

  • Metadata<T> API - add custom metadata extractors and asset kinds without core changes.
  • Category databases support an optional project-local examples field (typical asset names) that enriches category embeddings.

Testing & quality:

  • 30 EditMode unit tests (vector math, tokenizer, SQLite storage, property roundtrip, category databases).
  • CI: GitHub Actions test matrix on Unity 2022.3 LTS and Unity 6 (6000.x).

Dependencies:

  • com.unity.ai.inference (Sentis) 2.3.0+ - Unity package, resolved automatically. No Asset Store dependencies.

Compatibility

Unity version Built-in URP HDRP Custom
6000.5.2f1

AI Semantic Search is an Editor-only tool and is 100% render-pipeline agnostic: it works the same in Built-in, URP and HDRP projects. All AI inference runs locally via Unity Sentis (CPU or GPU compute backend). Requires com.unity.ai.inference (Sentis) 2.3.0+, resolved automatically by UPM.

As listed on the Asset Store.