Chunking and Storing Text for Efficient LLM Processing

Natural Language Processing

100 learners

This course teaches learners how to chunk large text efficiently and store it in a database for structured retrieval. These techniques are essential for processing long documents in LLM applications such as search, retrieval, and knowledge management.

ChromaDB

Python

See path

4 lessons

14 practices

1 hour

Course details

Chunking and Storing Text for Efficient LLM Processing

Preview

Implementing Fixed Length Text Chunking

Sentence Boundaries for Smarter Chunking

Chunking Methods Head to Head

Preserving Document Structure with Paragraph Chunking

Previous Course

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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

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