vector-database Archives - ITFROMZERO

ChromaDB Python Guide: Build Production-Ready Semantic Search with Vector Embeddings

By IT From Zero October 17, 2026

Is your traditional database overloaded with text searches? Learn how to configure ChromaDB with PersistentClient in Python, resolve SQLite issues, and build production-ready multilingual semantic search.

Database

Deploying Qdrant with Docker: Optimizing the Rust-Powered Vector Search Engine for Production RAG

By IT From Zero October 16, 2026

Battle-tested guide to deploying Qdrant Vector Search Engine with Docker for RAG. Learn how Rust-powered mmap cuts RAM usage by 70%, prevents OOM errors, and handles production disk full issues.

Artificial Intelligence tutorial - IT technology blog

Deploying Weaviate with Docker: Mastering Hybrid Search and Generative Search for AI Applications

By IT From Zero October 16, 2026

A hands-on guide to self-hosting Weaviate Vector Database with Docker Compose. Configure Hybrid Search (BM25 + Vector) and integrate Generative Search using Python SDK v4 for production AI.

Database

Getting Started with LanceDB: A Lightweight Embedded Vector Database for AI and Multimodal Search

By IT From Zero October 12, 2026

Struggling with high RAM usage and the operational overhead of complex vector database clusters? Discover LanceDB: an embedded, in-process, zero-server vector database that enables resource-efficient AI applications and multimodal search.

Setting Up and Managing Milvus with Attu: Deploying a Vector Database for Large-Scale RAG

By IT From Zero October 4, 2026

Step-by-step guide to deploying Milvus Vector Database and the Attu GUI with Docker Compose for large-scale RAG. Learn schema design, HNSW indexing, and RAM sizing.

Using ChromaDB with Python: Build a Lightweight Local Vector Database for AI Applications

By IT From Zero October 2, 2026

Suffering from OOM killer memory crashes due to in-memory NumPy vectors? Here is how to integrate ChromaDB PersistentClient in Python for a lightweight, robust local vector database.

Database

Deploying Weaviate with Docker: Building Optimized Hybrid Search for RAG Systems

By IT From Zero September 13, 2026

A detailed guide on deploying Weaviate with Docker and optimizing Hybrid Search. Includes real-world experience on RAM management and search weighting for RAG systems.

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.

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.