ShelbyJenkins/llm_utils

llm_utils: Basic LLM tools, best practices, and minimal abstraction.

35
/ 100
Emerging

This tool helps developers working with large language models to prepare text data more effectively. It takes raw text or HTML and processes it into cleaned, consistently sized, and semantically segmented chunks. This is used by developers building applications like chatbots, search engines, or summarization tools that rely on feeding well-structured text to an LLM.

No commits in the last 6 months.

Use this if you are a developer building LLM-powered applications and need to reliably clean, segment, and chunk text data to improve model performance and retrieval accuracy.

Not ideal if you need a high-level, off-the-shelf NLP solution that doesn't require direct code integration, or if your application demands highly advanced, model-based semantic splitting beyond rule-based methods.

LLM application development text preprocessing retrieval-augmented generation natural language processing data preparation
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 12 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

48

Forks

3

Language

Rust

License

MIT

Last pushed

Feb 18, 2025

Monthly downloads

43

Commits (30d)

0

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