What MyScale is
MyScale is an AI vector database with SQL. It combines vector search with SQL analytics so large-scale multimodal vector data can be queried in one place, and it is offered as a hosted service for building semantic search and RAG applications.
What you can do with it
- Run vector similarity search
- Filter results with SQL conditions
- Store multimodal embeddings at scale
- Back a RAG retrieval layer
Who it is for
- AI application developers
- Data engineers and search teams
- Machine learning teams
What to watch out for
- Evaluate query performance, index cost, data size and compatibility with your existing database before migrating
- It suits teams with data and engineering foundations
- Vector search quality depends on your embeddings, not the database
- Confirm current limits and pricing
Pros & cons
✓ What we like
- SQL and vectors in one query language
- Hosted option
- Built for RAG workloads
! What to watch out for
- Migration needs benchmarking
- Requires engineering capacity
- Embedding quality still decisive
FAQ
What is it for?
Large-scale multimodal vector queries combining SQL analysis and vector search.
Can it replace judgement?
No. It is storage and retrieval; relevance needs evaluation.
What should I prepare?
Embeddings, expected query patterns and acceptance criteria.
Last reviewed: 2026-09-17
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