Tutorials Prompt Engineering Tutorial
AI Knowledge Bases — Complete Guide
AI Knowledge Bases — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Prompt Engineering Tutorial on Toolliyo Academy.
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Prompt Engineering Tutorial · Lesson 45 of 100
AI Knowledge Bases
Prompts → Apps
Prompts · 1 — Basics · ~6 min · Module 5: RAG Systems
What is this?
A knowledge base is the curated corpus: docs, tickets, wikis — chunked, embedded, and versioned for RAG.
Why should you care?
PromptVerse KB Admin lets teams upload PDFs, sync Confluence, and tag content by product line.
See it live — copy this example
Copy the prompt into ChatGPT, Claude, or your LLM API playground and compare outputs.
kb.ingest({
source: "confluence",
space: "ENG",
chunk_size: 512,
overlap: 64,
tags: ["api", "v2"]
});
// nightly sync job refreshes changed pagesWhat happened?
- Ingestion chunks with overlap so sentences split across boundaries still retrieve.
- Tags filter retrieval by product.
Practice next
- Chunk one long page at 512 tokens.
- Note overlap preserves context.
- Tag chunks by team.
- Exclude draft spaces from ingest.
- Version KB snapshot per release.
Remember
Curate sources like a product. Chunk + overlap + tags. Sync on schedule.
Confluence sync
API docs change weekly.
Outcome: Nightly sync keeps copilot answers on v2 endpoints.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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