Posted inAI
Build a Text-to-SQL Tool with Vanna.ai: Talk to Your Data in Plain English
Tired of writing the same SQL queries? Learn how to build a production-ready Text-to-SQL system using Vanna.ai and Python to empower non-technical users.
Posted inAI
RAG Explained: How to Keep Your LLMs Honest in Production
Is your LLM hallucinating or providing outdated info in production? Retrieval-Augmented Generation (RAG) is your solution. This tutorial details RAG's architecture and offers a Python example for building reliable, fact-based AI systems.
Posted inAI
Vector Database Explained: Pinecone, Weaviate, ChromaDB for AI Engineers
Vector databases like Pinecone, Weaviate, and ChromaDB are crucial for today's AI applications and semantic search. This tutorial explains the core problem they address, compares their features, and offers practical code examples to guide your project's tool selection.
Posted inAI
AI Hallucination Explained: What It Is and How to Detect It in Your Apps
AI hallucination causes language models to generate confident but factually wrong answers — a real problem for any app built on LLMs. This guide covers what causes hallucinations, the common types you'll encounter, and practical Python techniques to detect and reduce them in your own projects.
Posted inAI
Perplexity AI Explained: The AI-Powered Search Engine for Smarter Research
Perplexity AI is an innovative AI-powered search engine that synthesizes information from the web into direct, cited answers. It uses Retrieval-Augmented Generation (RAG) to provide trustworthy results, enhancing research efficiency for IT professionals.