Enterprise Semantic Search Api For Image & Text

Our advanced AI-powered platform delivers semantic image and text search that truly understands visual similarity and contextual meaning-not just keywords. Think of it as "Google Lens for your product catalogue" but enhanced with robust enterprise capabilities.

Key Strengths

State-of-the-Art AI

• Built on OpenAI's CLIP models, pre-trained on over 400 million images
• Works immediately with zero-shot learning - no additional training required
• Multi-modal intelligence that seamlessly processes both images and text

Production-Ready Architecture

• Engineered with FastAPI for exceptional performance
• Lightning-fast sub-100ms queries
• Horizontally scalable with stateless design
• Comprehensive enterprise features, including monitoring and analytics

Unmatched Flexibility

• Compatible with five vector store options: Pinecone, Qdrant, Weaviate, ChromaDB, and pgVector
• Supports three database types: SQLite, PostgreSQL, and MySQL
• Effortlessly switch between providers without code changes
• Deploy in the cloud or self-host according to your needs

Enterprise-Grade Features

• Automatic product indexing that keeps your catalogue current
• On-demand reindexing capability
• Detailed search analytics and performance metrics
• Comprehensive health checks and system monitoring
• Background processing for non-blocking operations

Powerful Search Capabilities

• Visual Search: Upload an image to find visually similar products
• Text Search: Natural language queries like "red running shoes under £100"
• Hybrid Search: Combine image and text for refined results
• Smart Reranking: Multi-signal fusion for optimal relevance
• Intelligent Query Expansion: Automatically enhances search queries
• Diversity Controls: Shows variety instead of duplicates
• Advanced Filtering: By price, category, brand, and custom attributes

Performance Metrics

• Average query time under 100ms
• Handles 100+ queries per second
• Scales to millions of products
• Efficient resource usage (2-4GB RAM, optional GPU)

Business Value

E-Commerce Benefits

• Increased sales through improved search relevance
• Enhanced user experience with natural language queries
• Effective cross-selling through similar/complementary item discovery
• Reduced returns by ensuring visual matching accuracy

Enterprise Advantages

• Cost-effective with self-hosting option
• Enhanced data privacy by keeping sensitive information in-house
• Highly customisable to specific business requirements
• Scales seamlessly as your business grows

Technology Foundation

• AI/ML: CLIP embeddings (768/512 dimensional)
• Framework: High-performance FastAPI (Python)
• Vector Stores: Multiple options for flexibility
• Databases: Choice of SQLite, PostgreSQL, or MySQL
• Deployment: Docker, Kubernetes, Cloud-ready

Practical Use Cases

• E-commerce product search and recommendations
• Multi-vendor marketplace search with style matching
• Content management for image libraries with duplicate detection
• Enterprise knowledge bases and internal asset search

Seamless Integration

• Standard HTTP endpoints via REST API
• Type-safe Python SDK
• Auto-generated OpenAPI documentation
• Health checks and metrics export via webhooks

Why This Matters

Traditional search relies on limited keyword matching, while our system delivers accurate semantic understanding:

Traditional: "red shoes" only finds products with exact keywords "red" and "shoes" Our System: "red shoes" understands the concept, finding relevant matches even when titled "crimson sneakers"

Our visual search capability – allowing users to upload photos and find similar products – is transformative for fashion, furniture, art, and more.

Bottom Line

We offer a production-ready, scalable semantic search platform with cutting-edge AI, flexible architecture, and comprehensive enterprise features, available self-hosted or cloud-deployed.

Built for scale. Ready for production. Designed for flexibility.