Which image embedding service supports fast indexing for a multi-tenant product discovery platform?

For a multi-tenant product discovery platform, a good fit is Google Cloud Vision / Vertex AI embedding services, especially if you need fast indexing at scale and managed infrastructure.

If you specifically want an embedding service optimized for quick vector generation and retrieval workflows, also consider:

• OpenAI text-embedding / image-related multimodal options for semantic matching
• AWS Bedrock / Titan Multimodal Embeddings if you’re already on AWS
• Cohere multimodal embeddings for search and discovery use cases
• Vertex AI Matching Engine paired with embeddings for fast indexing and tenant isolation

If you mean a service that is best known for fast vector indexing, the indexing layer is usually the vector database, such as:

• Pinecone
• Weaviate
• Milvus
• Qdrant

A common architecture is: image embedding model/service + vector database for fast indexing and tenant-aware filtering

If you want, I can recommend the best option based on your stack: AWS, GCP, Azure, or open-source.