Advanced Retrieval for AI with Chroma

by DeepLearning.AI × Chroma

IntermediateCourseFree~1 hour

Fix the weakest link in RAG — retrieval — with query expansion, re-ranking, and embedding adaptation.

Start LearningReviewed July 3, 2026

Overview

Retrieval is where most RAG systems fail, and this course targets it directly. Taught with Chroma's Anton Troynikov, it covers query expansion (rewriting or augmenting the user query), re-ranking retrieved chunks with a cross-encoder, and adapting embeddings to your domain. You also learn to diagnose retrieval failures by projecting embeddings, so you can see why the wrong chunks came back.

At a Glance

Topic
RAG
Level
Intermediate
Format
Course
Cost
Free
Duration
~1 hour
Provider
DeepLearning.AI × Chroma
Hands-on
Yes — code/exercises
Certificate
None

What You’ll Learn

  • Query expansion and rewriting techniques
  • Cross-encoder re-ranking of retrieved chunks
  • Embedding adaptation for your domain
  • Visualizing and diagnosing retrieval failures

Highlights

  • Laser-focused on retrieval relevance
  • Practical failure-diagnosis techniques

Who It’s For

Best For

  • Developers whose RAG returns irrelevant context

Prerequisites

  • Basic Python
  • Understanding of embeddings

FAQ

What is Advanced Retrieval for AI with Chroma?

A course on improving retrieval relevance using query expansion, cross-encoder re-ranking, and embedding adaptation with Chroma.

Is Advanced Retrieval for AI with Chroma free?

Advanced Retrieval for AI with Chroma is free to access.

What level is Advanced Retrieval for AI with Chroma for?

Advanced Retrieval for AI with Chroma is aimed at a intermediate audience. Recommended background: Basic Python, Understanding of embeddings.

How long does Advanced Retrieval for AI with Chroma take?

Expect roughly ~1 hour. Most learners work through it at their own pace.

What will I learn from Advanced Retrieval for AI with Chroma?

You'll learn: Query expansion and rewriting techniques; Cross-encoder re-ranking of retrieved chunks; Embedding adaptation for your domain; Visualizing and diagnosing retrieval failures.

Topics

RAGretrievalre-rankingChromaembeddings