Posted inAI
Hybrid Search with Qdrant: Solving RAG’s ‘Amnesia’ with Specific Keywords
Is your RAG system missing exact keywords? Discover how to implement Hybrid Search with Qdrant to combine Keyword and Vector Search for superior accuracy.
Posted inAI
Don’t Make AI Work Alone: Building a Multi-Agent Team with AutoGen
Instead of using a single AI, AutoGen lets you build a team of agents that coordinate, write code, and debug together. Learn how to automate complex tasks with Python now.
Posted inAI
Flowise: Install and Build Chatbots and RAG Pipelines with a No-Code Drag-and-Drop Interface
Flowise is an open-source tool that lets you build chatbots, RAG pipelines, and AI workflows through a drag-and-drop interface — no coding required. This guide covers installation via Docker/npm and walks through building a chatbot with Ollama and a RAG pipeline for PDF document Q&A, step by step.
Posted inAI
Teaching AI Agents Long-Term Memory with Mem0: A Solution for Python Developers
Is your AI forgetting user preferences? Learn how to integrate Mem0 into Python to build long-term memory, making your AI Agents smarter and more personalized.
Posted inAI
Mastering MergeKit: The Ultimate Trick to ‘Mix’ LLM Models Without Heavy GPUs
A detailed guide on using MergeKit to merge LLM models on Linux. Save on GPU costs and optimize AI performance using SLERP, TIES, and DARE algorithms.
Posted inDocker
Build Your Own Local AI Chatbot: Deploying Ollama and Open WebUI with Docker Compose
Learn how to build a private, high-security AI chatbot. Detailed guide on deploying Ollama and Open WebUI with Docker Compose, optimizing GPUs for full offline operation.
Posted inAI
LlamaIndex + Ollama: Building a Fully Offline Internal Document Q&A System
LlamaIndex combined with Ollama lets you build a Q&A system over PDFs, Word files, and internal websites without sending any data to the cloud. This article compares different approaches, breaks down when the offline solution makes sense, and walks through deployment step by step from installation to production.
Posted inAI
Generating Millions of Logically Consistent Database Records: The Power of Combining LLM and SDV
Forget manually writing data scripts. Discover how to combine LLMs and the SDV library to generate millions of logically consistent, secure records ready for even the toughest test scenarios.
Posted inAI
Building an Intelligent Alert System with LLM: Automatically Classifying and Summarizing Prometheus Alerts to Reduce Alert Fatigue
A hands-on guide to building a Prometheus alert classification and summarization system using LLM, helping SysAdmins escape alert fatigue. Compares rule-based, ML, and LLM approaches, with a complete Python webhook receiver.
Posted inDatabase
Getting Started with ChromaDB: The Open-Source Vector Database for Building AI Agent Knowledge Systems
ChromaDB is an open-source vector database for semantic storage and search — lightweight enough to run locally, powerful enough to serve as the foundation for RAG systems and AI Agents. This guide walks through installation, document indexing, semantic search queries, and Docker deployment with practical, step-by-step examples.