Vector DB

Prerequisite: Familiarity with the concepts introduced in Part 1 — Golang Orchestration. Review it first if the terminology in this part is unfamiliar. Data Ingestion & Atomic Chunking Product Data: Semantic Catalog Pipelines In general document RAG applications, text splitting divides long articles into arbitrary token chunks (e.g., 512 tokens with 50-token overlap). Applying naive token splitting to e-commerce product catalogs is disastrous. A camera lens catalog page might contain technical specs for three different lens variants (24mm f/1.4, 50mm f/1.2, 85mm f/1.4). Naive character splitting shreds table rows across chunk boundaries, assigning the 24mm lens price to the 85mm lens embedding. ...

Prerequisite: Familiarity with the concepts introduced in Part 6 — Rise Of Ai Agents. Review it first if the terminology in this part is unfamiliar. Part 7 — Agentic Memory Systems: Episodic, Semantic & Working Memory Storage To act as effective digital partners, enterprise autonomous agents must remember past user decisions, architectural preferences, and historical tool execution results across weeks or months of operation. Treating every interaction turn as a fresh stateless request leads to frustrating user experiences where the agent continuously re-asks foundational questions. ...