Vector Search Archives

Parsing Complex Documents with IBM Docling and Python for Production RAG Pipelines

October 12, 2026

A hands-on guide to using IBM Docling and Python for document parsing in production RAG systems. Extract complex tables, formulas, and layouts into clean semantic chunks.

Scaling PostgreSQL Vector Search: HNSW Tuning and Table Partitioning for Production RAG

October 11, 2026

Scaling enterprise RAG with PostgreSQL and pgvector demands more than basic indexes. Discover how combining HNSW index tuning with declarative partitioning dropped p95 query latency from 2.8s to 14ms across 8 million vectors.

Optimize RAG Accuracy with Query Expansion and HyDE: A Practical Guide

September 12, 2026

Struggling with poor RAG results? This guide explains how to use Query Expansion and Hypothetical Document Embeddings (HyDE) to bridge the semantic gap and improve search accuracy in your AI applications.

Database

Deploying Milvus on Docker: A Production Guide for Enterprise AI and RAG Applications

August 19, 2026

A hands-on guide to deploying Milvus vector database on Docker, based on six months of production experience running a 50-million-vector RAG pipeline. Covers Standalone setup, configuration tuning for performance, index selection, and monitoring with Attu and Prometheus.

Stop Scrubbing: Building a Video RAG System with Keyframe Extraction and Vector Search

August 14, 2026

Manual video scrubbing is a relic of the past. Learn how to build a Video RAG system using Python, CLIP, and Qdrant to index and search visual content with precision.