AI Engineering/Phase 19/Lesson 51

Literature Retrieval

A hypothesis is cheap. Knowing whether someone already proved it is the expensive part. Build the retrieval layer that answers that question before the runner spins up a sandbox.

Build 1.5 hr Python

Prerequisites: Phase 19 Track A lessons 20-29

#Learning Objectives

Model a small paper record with the fields the loop will read downstream.
Build a BM25 index over abstracts with stdlib data structures only.
Walk a citation graph to surface papers the lexical search missed.
Deduplicate hits across the lexical and graph passes by stable paper id.
Wrap two mock external APIs behind a single client so the upstream call site stays the same when real endpoints land.

Full Access lesson

Keep going. The rest of this lesson is one step away.

Unlock all 503 lessons, video, code, quizzes and every future update. Pay in your own currency with Paystack.

See plans Sign in

The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.