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MyScale

Vector search with SQL

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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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