RAG Archives - ITFROMZERO - Share tobe shared!

Artificial Intelligence tutorial - IT technology blog

A Guide to Implementing Anthropic’s Contextual Retrieval with Python

By IT From Zero October 30, 2026

Anthropic's Contextual Retrieval eliminates context loss during document chunking in RAG. Learn how to automatically prepend context using Python and Claude 3 Haiku with Prompt Caching.

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.

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

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.

RAG

A Guide to Implementing Anthropic’s Contextual Retrieval with Python

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

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

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

LightRAG with Python Tutorial: Building Fast, Cost-Optimized Graph RAG

Installing and Configuring Dify on Linux with Docker: Building Production-Ready AI Workflows and RAG

Optimizing RAG Accuracy with BGE-Reranker and FlagEmbedding

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

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

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