Build a local RAG knowledge base over your own notes

Introduction

Walk through chunking, embedding, and retrieval with a local model, and learn to judge whether the retrieved passages actually support the answer.

What usually goes wrong

Teams that skip this step tend to share three failure modes:

• Optimizing a number nobody agreed to move.
• Copying a setup from a project with different constraints.
• Deferring the decision until it is expensive to reverse.

How to approach it

1. State the problem in one sentence, in the words your users would use.
2. Pick a signal you can measure weekly, not just at launch.
3. Timebox a small trial; a two-day spike beats a two-week debate.

Wrap-up

If AI taught us anything, it is that boring consistency beats clever one-offs. Bring the lessons back to your team before they fossilize into folklore.