Blog
Posts from the MindsHub team.
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Use AI to do ML
Vibe coding came for engineering. Vibe ML is coming for data work. Here's what it looks like when you ask an AI agent to train an XGBoost model — and it just does it.
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MindsDB Product Updates: April 2026
April brought major updates across MindsDB Anton and Query Engine, from shareable reports and explainable answers to broader integrations and stronger SQL reliability.
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A practical hands-on introduction to Anton
Learn how to install, configure, and use Anton—MindsDB’s open-source AI agent for conversational analytics that builds dashboards, runs SQL, and publishes insights.
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Introducing Anton: What Business Intelligence Is Supposed To Be
Business intelligence wasn’t meant to slow down decisions. Anton changes that by delivering real-time, trusted, and auditable insights to anyone on your team—instantly.
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Turning Claude Code into a Conversational Data Analyst with the Minds Plugin
Build conversational analytics with the Minds Plugin for Claude Code and connect Claude to Postgres, Snowflake, and BigQuery using natural language queries.
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Introducing MindsDB v26.0.0 With Improved Agents and Knowledge Bases
Introducing MindsDB v26.0.0 — faster Knowledge Bases, smarter Agents, stronger integrations, and production-ready performance.
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MindsDB Product Updates - February 2026
Stronger Knowledge Bases, improved integrations, enhanced SQL reliability, GUI performance boosts, and critical security upgrades across MindsDB.
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Building a Semantic Search Knowledge Base with MindsDB
Learn how to build intent-based semantic search in MindsDB with Knowledge Bases, PGVector and FAISS
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MindsDB Product Updates - January 2026
Explore the latest product updates, including Knowledge Base enhancements, FAISS and Snowflake support, faster vector search and improved SQL.
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Building AI-Powered Data Analytics with MindsDB: From Natural Language to Charts
Build an AI analytics system using MindsDB Minds to convert natural language into SQL, run queries automatically, and generate visual insights instantly.
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MindsDB in 2025: From SQL to the Universal AI Data Hub
How 11 releases, 1,500+ PRs, and a unified architecture transformed MindsDB this year.
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Blend Hybrid Retrieval with Structured Data using MindsDB Knowledge Bases
Customize your pipeline, query structured data with citations, debug clearly, and deploy semantic + SQL search—no vector stores or ML ops needed.
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How to Build Semantic AI Search by Andriy Burkov
Learn how to fast-track semantic AI search with MindsDB Knowledge Bases—step-by-step techniques by Andriy Burkov.
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Best Practices for Evaluations (Evals) for AI Solutions
Discover why evaluations are key to building trust, improving accuracy, and guiding the success of your AI projects.
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Beyond Vector Search: Why MindsDB Knowledge Bases Matter for Complete RAG Solutions
Go beyond vector search—see how MindsDB Knowledge Bases power complete RAG solutions with reranking, data sync, and scalable retrieval.
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Beyond Keywords: Introducing MindsDB Knowledge Bases for RAG and Semantic Search
Make Your Enterprise Data Responsive and Ready for AI with MindsDB Knowledge Bases
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Unlocking the Power of Data with MindsDB's Federated Query Engine
MindsDB's Federated Query Engine empowers advanced AI applications and agents to harness the power of data
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MindsDB Now Supports Model Context Protocol: The Unified AI Data Hub Your Enterprise Needs
MindsDB releases support for Model Context Protocol (MCP server) that unifies AI Data for your Enterprise
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Updated January 2025: a Comparative Analysis of Leading Large Language Models
In-depth analysis comparing top LLMs, including OpenAI and its exciting contenders like Deepseek, LangChain, Anthropic, Cohere, Google, and so on.
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Transforming Unstructured Data into Structured Using AI
This guide provides a straightforward, step-by-step method for transforming large amounts of unstructured data into structured formats using just a few SQL
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Mind Your Manners: How Politeness Can Make AI Smarter
Being polite to AI can improve response quality, clarity, and even reduce bias. Overdoing it might get verbose answers. Learn more about this in recent research findings!
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Which LLM to Choose: 12 key aspects to consider when building AI solutions
Overview of the Leading LLMs The leaderboard below presents a high-level comparison of leading large language models (LLMs) from various providers such as OpenAI, Google, Anthropic, Cohere, Meta, Mistral AI, and Databricks. Models are evaluated based...