Qdrant

In Part 1: The Paradigm Shift - Agentic Architecture & Golang Orchestration Power, we established the Orchestration Engine using Golang and Eino. However, no matter how smart a brain is, it becomes useless if fed with misleading, unstructured, or fragmented information. In the e-commerce domain, product catalog data changes continuously every second: prices fluctuate, inventory is updated, new products are added. Meanwhile, chunking product data to feed into a Vector Database (Qdrant) is entirely different from chunking a PDF document or a news article. ...

In Part 2: Data Ingestion & Atomic Chunking - Bringing Product Data into the AI Environment, we established a clean data synchronization pipeline from PostgreSQL to Qdrant via Kafka CDC. But the journey of building a standard e-commerce search engine has just begun. When a user enters: “Asus ROG Zephyrus G14 laptop under $1500 in stock” If using purely Dense Vector Search: The system might return other Asus ROG Zephyrus laptops priced at $2000, or even older out-of-stock models, because the Embedding model only understands general semantic similarity and cannot process strict mathematical comparisons (Hard Filters like price < 1500 and in_stock = true). If using purely Lexical Search (BM25): The system fails when the user searches by intent, such as “thin and light high-performance gaming laptop”, because these keywords do not appear directly in the product description text. The optimal solution for e-commerce is Hybrid Search — combining Dense Search (semantic understanding), Sparse Search/BM25 (exact keyword and SKU matching), and Filterable HNSW (high-performance hard attribute filtering). ...

The search system is the beating heart of every e-commerce platform. If customers cannot find a product, they cannot buy it. However, as we move through 2026, user search behavior has evolved drastically from typing short, abrupt keywords (e.g., “men’s running shoes”) to submitting complex, goal-oriented queries (e.g., “find me a pair of men’s waterproof trail running shoes, size 42, under $100, that can be delivered by tomorrow”). Against these multifaceted intents, traditional search engines begin to show their limitations. ...