ScriptComputer Visionv1.1

Visual Search Engine

by Community · free · Last verified 2026-03-17

This script provides a complete framework for building a multimodal visual search engine. It uses CLIP to generate image and text embeddings, which are indexed in a vector database like Qdrant or Weaviate for efficient similarity search. The system supports both text-to-image and image-to-image queries and includes a FastAPI server for API access.

https://github.com/openai/CLIP ↗

C+

C+—Average

Adoption: B+Quality: AFreshness: ACitations: BEngagement: F

Specifications

License: MIT
Pricing: free
Capabilities: Text-to-image search using natural language queries, Image-to-image search to find visually similar items, Generates multimodal embeddings using CLIP models, Integrates with vector databases like Qdrant and Weaviate for indexing, Improves search relevance with a cross-encoder re-ranking step, Provides a RESTful API backend built with FastAPI, Includes an interactive web demo using Gradio, Can be adapted to index and search custom image datasets
Integrations: [object Object], [object Object], [object Object], [object Object], [object Object], [object Object]
Use Cases: [object Object], [object Object], [object Object], [object Object]
API Available: Yes
Language: python
Dependencies: openai-clip, qdrant-client, fastapi, uvicorn, gradio, pillow
Environment: Python 3.10+
Est. Runtime: Index build: 10-60 min; query: <100ms
Tags: visual-search, image-embeddings, similarity-search, clip, multimodal, vector-database, reverse-image-search, qdrant, weaviate, fastapi, gradio
Added: 2026-03-17
Completeness: 0.8%

Index Score

59.4

Adoption

Quality

Freshness

Citations

Engagement

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