Implementing Semantic Search with ChromaDB

Natural Language Processing

This course focuses on advanced semantic search techniques in ChromaDB, including multi-query expansion, hybrid retrieval (combining different search strategies), reranking techniques, and improving search relevance beyond basic vector similarity.

ChromaDB

Python

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4 lessons

13 practices

2 hours

Course details

Understanding Similarity Search with Cosine Similarity

Preview

Encoding Texts for Similarity Calculation

Calculating Text Similarity with Cosine

Filtering Texts with Cosine Similarity

Previous Course

Next Course: Optimizing and Scaling ChromaDB for Vector Search

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From our community

Hear what our customers have to say about CodeSignal Learn

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11

I love that it's personalized. When I'm stuck, I don't have to hope my Google searches come out successful. The AI mentor Cosmo knows exactly what I need.

Faith Yim

Software Engineer

+14

It's an amazing product and exceeded my expectations, helping me prepare for my job interviews. Hands-on learning requires you to actually know what you are doing.

Alex Bush

Full Stack Engineer

I'm really impressed by the AI tutor Cosmo's feedback about my code. It's honestly kind of insane to me that it's so targeted and specific.

Abbey Helterbran

Tech consultant

I tried Leetcode but it was too disorganized. CodeSignal covers all the topics I'm interested in and is way more structured.

Jonathan Miller

Senior Machine Learning Engineer

+12

I'm impressed by the quality and can't stop recommending it. It's also a lot of fun!

Francisco Aguilar Meléndez

Data Scientist

+11