MindsDB FAQs

Name: MindsDB
Author: mindsdb

Question 1

What can I build with MindsDB?

Accepted Answer

You can build a wide range of AI applications, including autonomous RAG (Retrieval-Augmented Generation) systems, intelligent search tools, data enrichment pipelines, and more. Any application that requires querying and understanding data from multiple sources is a good fit for MindsDB.

Question 2

What is MindsDB?

Accepted Answer

MindsDB is an open-source platform that allows you to build AI applications capable of learning from and answering questions using your existing data, regardless of where it's stored. It acts as a federated query engine, connecting to various data sources and enabling AI-powered insights.

Question 3

How do I connect MindsDB to my data?

Accepted Answer

MindsDB supports connections to numerous data sources, including databases (PostgreSQL, MySQL, etc.), SaaS applications, data warehouses, and vector databases. You can connect using standard SQL queries or Python SDK.

Question 4

Does MindsDB use LLMs (Large Language Models)?

Accepted Answer

Yes, MindsDB can utilize LLMs to power its AI capabilities, particularly within its Knowledge Base feature for building RAG systems. You can even customize the embedding models used by MindsDB to suit your specific needs.

Question 5

What are Knowledge Bases in MindsDB?

Accepted Answer

Knowledge Bases are autonomous RAG systems that digest data from any source MindsDB supports, regardless of format. These can be structured or unstructured. By default, it's all handled automatically including data embedding, chunking, vector optimization, etc. You can also customize.

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