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LanceDB: The ‘SQLite’ of Vector Databases – A Lightweight Storage Solution for AI Applications

By IT From Zero July 29, 2026

LanceDB is a lightweight embedded vector database that functions like SQLite but for AI. Learn how to install and optimize Vector Search for your RAG applications.

MySQL

MySQL 9.0 and VECTOR: Embedding Storage Solution for AI Apps Without a Secondary DB

By IT From Zero July 22, 2026

MySQL 9.0 officially supports the VECTOR data type. Learn how to store AI embeddings, calculate Cosine distance, and build efficient semantic search systems directly in MySQL.

Flowise: Install and Build Chatbots and RAG Pipelines with a No-Code Drag-and-Drop Interface

By IT From Zero July 18, 2026

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.

Teaching AI Agents Long-Term Memory with Mem0: A Solution for Python Developers

By IT From Zero July 18, 2026

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.

LlamaIndex + Ollama: Building a Fully Offline Internal Document Q&A System

By IT From Zero July 3, 2026

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.

Haystack 2.0: Building Document Processing Pipelines with Document Indexing, Hybrid Retrieval, and Smart Q&A

By IT From Zero June 29, 2026

Haystack 2.0 lets you build AI document processing pipelines as directed graphs: each component connected explicitly, making them easy to debug and extend. This guide walks through document indexing, hybrid retrieval combining BM25 and embeddings, and a production-ready Q&A pipeline in Python.

A Guide to Automated LLM Unit Testing with DeepEval

By IT From Zero June 25, 2026

DeepEval lets you write unit tests for LLM applications just like regular pytest, with metrics for AnswerRelevancy, Faithfulness, and hallucination detection. A guide from a 5-minute install to CI/CD integration for automatically controlling AI quality before every deployment.

Database

Setting Up Milvus Vector Database with Docker: Building a Knowledge Store for RAG and AI

By IT From Zero June 18, 2026

A guide to installing Milvus Vector Database with Docker Compose, creating collections, storing vector embeddings, and building a complete RAG pipeline. Includes tips on choosing index types, chunking strategies, and production optimization from real-world experience.

Database

Getting Started with ChromaDB: The Open-Source Vector Database for Building AI Agent Knowledge Systems

By IT From Zero June 13, 2026

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.

Installing AnythingLLM on Ubuntu: Build Your Own Ultra-Secure Local AI Knowledge Base

By IT From Zero May 11, 2026

Build a secure internal RAG system with AnythingLLM on Ubuntu. Learn how to install via Docker, connect Ollama, and optimize your local AI knowledge base for absolute data privacy.