DailyRNG

Retrieval & Embeddings

Retrieval & Embeddings

Every lesson in order, step by step. No difficulty tiers. Just follow the arrows.

15 lessons, about 21 min of reading

1

Why retrieval exists →

Step 1 · Basic

2

Chunking documents →

Step 2 · Basic

3

What an embedding is →

Step 3 · Basic

4

Ranking the chunks →

Step 4 · Basic

5

Keyword search beside it →

Step 5 · Basic

6

Citing what was used →

Step 6 · Basic

7

Checking a retrieval system →

Step 7 · Basic

8

Storing vectors so search is fast →

Step 8 · Advanced

9

Filtering by metadata →

Step 9 · Advanced

10

Reranking with a stronger model →

Step 10 · Advanced

11

Rewriting the question before searching →

Step 11 · Advanced

12

Chunking strategies that hold up →

Step 12 · Advanced

13

A retrieval system you can run →

Step 13 · Master

14

Evaluating a retrieval system →

Step 14 · Master

15

Failure modes and guardrails →

Step 15 · Master