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Qdrant Installation and Usage Guide: A Powerful Vector Database for AI and RAG Applications

By admin March 10, 2026

This article provides a detailed guide on how to install and use Qdrant, a powerful vector database, to build effective AI and RAG applications. I share practical experience after more than 6 months of deploying Qdrant in a production environment, analyzing its pros and cons, and providing sample Python code to help you get started immediately.

Building a RAG Application with LangChain and Python: From Failure to Production

By admin February 28, 2026

Six months of hands-on experience building a RAG (Retrieval-Augmented Generation) system with LangChain and Python for an internal document lookup chatbot. From hallucination issues and context window limitations to a solution that actually works in production, with complete code examples.

Building a RAG Application with LangChain and Python — A Step-by-Step Guide for Beginners

By admin February 28, 2026

A step-by-step guide to building a RAG (Retrieval-Augmented Generation) application with LangChain and Python: from loading documents and creating a vector store with Chroma, to building a complete chain that lets your LLM answer questions based on your own data.