AI Engines & AI Tables
MindsDB offers a wide range of AI engines used to create models and incorporate them in the data landscape as virtual AI-tables. MinsdDB abstracts AI models as virtual tables, or Generative AI Tables, that can generate data from the underlying model upon being queried.
MindsDB provides over 20 AI/ML handlers to connect the available ML frameworks.
If you don’t find an ML framework of your interest, you can request a feature here or build an ML handler following this instruction.
This section contains instructions on how to create models in MindsDB, utilizing different ML frameworks.
Large Language Models
Ollama
Anyscale Endpoints
ReplicateLLM
Vertex AI (Google)
Anthropic
Cohere
OpenAI
Hugging Face
LangChain
LlamaIndex
MonkeyLearn
RAG
Bring Your Own Models
AutoML
Time Series Models
Audio Models
Image Models
Large Video Models
Metadata SQL Syntax
Here is how you can query for all the available ML handlers used to create AI engines.
SELECT *
FROM information_schema.handlers
WHERE type = 'ml';
Or, alternatively:
SHOW HANDLERS
WHERE type = 'ml';
And here is how you can query for all the created AI engines:
SELECT *
FROM information_schema.ml_engines;
Or, alternatively:
SHOW ML_ENGINES;